show episodes
 
www.BITEradio.me is home of the Bringing Inspiration To Earth Show where we focus on inspirational topics in the self-help, spiritual, Children's Corner and Environmental Awareness genres. Join Host, Robert Sharpe 2 days per week, Tuesdays & Thursdays. Our show time may vary depending on guest availability. Check out our Calendar for upcoming programming. www.BITEradio.me/calendar.html
 
Charmed Life with Tricia Carr is a podcast and YouTube channel. Tricia Carr C.Ht., B.Msc. discusses spirituality, mysticism, metaphysics, magic, higher consciousness and the unconditional love of the universe. Tricia chats with guest experts on various spiritual topics and offers lessons and messages from Spirit. Full length episodes are premiered weekly and mini episodes are released throughout the week. The Charmed Life podcast is published on iTunes, iHEARTRadio, Spotify and YouTube. Tric ...
 
Welcome to Science with Soul, I’m Dr. Lotte Valentin and the host of this podcast. I am a Physician, Evidential Psychic Medium, International Keynote Speaker and Author of MED SCHOOL after MENOPAUSE, The Journey of my Soul, an inspirational story about transformation, healing, and spirituality, available online at Amazon as well as other online platforms worldwide. The inspiration for this podcast came from my own life experiences. As I have journeyed through life it has taught me that we ar ...
 
From a young age JD was always fascinated with spirituality. He has recently become a licentiate minister with a Kansas spiritualist church.Fervently charged with mediumship and a cutting edge message JD is certain to remind you the bridge to life is never closed.
 
Dancing with Ghosts explores those who have crossed to the other side with renowned psychic and healer Rebecca Fearing. Those interested in contacting their loved ones on the other side are invited to call in and participate. Listen Live Wednesday at 7:00 (PST), exclusively on LA Talk Radio (latalkradio.com)
 
E
Energy Matters

1
Energy Matters

Cody Edner & David Gandelman

Unsubscribe
Unsubscribe
Monthly
 
Join two leading experts in meditation as they explore energy and how if affects our daily lives. Cody Edner & David Gandelman interview fascinating people in the fields of spirituality & wellness, and uncover the mysteries of the mind-body-soul connection.
 
Dana Marie is a gifted intuitive and spiritual consultant with several years professional experience. Though discovering her gifts at an early age, she has been teaching and learning sacred principles and universal laws for two decades. Her divine mission is to empower, enlighten and consciously expand your horizons by helping you expect the unexpected. Dana's authentic insights, trustworthy compassion, and unwavering dedication keep her in high demand. For a free reading on this podcast, se ...
 
A
Ask Ronna

1
Ask Ronna

Ask Ronna with Ronna (& Bryan)

Unsubscribe
Unsubscribe
Weekly
 
You have questions. I have answers. (And so does Bryan.) A weekly podcast hosted by @RonnaGlickman and @BryanSafi. Every Tuesday, wherever you get your podcasts. Send us your questions at askronna@gmail.com
 
Eposide Description: On Sunday, August 2nd I hosted registered nurse (RN) and public health expert Deitra W Scott for a podcast discussion on mental health (specifically depression and anxiety); the benefits of psychotherapy; and adopting healthy coping mechanisms. Part I identifies the clinical definitions of depression and anxiety, how they manifest, and personal testimonials. Part II explores effective ways for self healing and involvement of one's support system. Podcast Description: Thr ...
 
W
Wake Up With K

1
Wake Up With K

K The Intuitive Specialist

Unsubscribe
Unsubscribe
Monthly
 
Wake up with K the Intuitive Specialist is a world renowned clairvoyant, author, speaker and teacher from Brisbane, Australia. Her remarkable relationship with Spirit and her enthusiasm to inspire and assist others, is what makes K so loved and admired by all. Her innate ability to bring through incredible details and accurate information from Spirit has captivated clients and students from all over the world. Keep it Simple and learn with her every day.
 
Terryee Abbott is a clairvoyant coach specializing in all spiritual matters as well as complete health and wellness (spiritual, physical and financial ) Since age 4, Terryee sees and receives messages from angels. She shares their messages with people in order to help them have a life of prosperity. The areas of prosperity can transform individuals who want to improve their love relationships, career, family life, soul agreements and spiritual, physical and financial wellness. She also offer ...
 
H
Haunted Playground

1
Haunted Playground

LA Talk Radio - Sheena Metal / Danielle Egnew

Unsubscribe
Unsubscribe
Daily+
 
Ghosts, Angels, Demons, Psychics, Elementals, Inter-Dimensional Creatures, Aliens, Bigfoot, or the Griffin in your own back yard – nothing is off-limits or too outlandish while on-air with Haunted Playground, anchored by top-rated talk host, Sheena Metal and renowned clairvoyant/ medium Danielle Egnew, both founding members of The Western Pacific Paranormal Alliance. From today’s top paranormal experts to the most bizarre otherworldly phenomenon, to the world’s most engaging spiritual people ...
 
S
Spark Your Intuition

1
Spark Your Intuition

Myra Lewin at Hale Pule Ayurveda and Yoga

Unsubscribe
Unsubscribe
Monthly
 
Spark your intuition with Myra Lewin, Founder and Director of Hale Pule Ayurveda and Yoga. Here you’ll find bite-sized guided meditations designed to connect you to your intuitive energy - that infinite intelligence that resides within. Each meditation will expand your perspective and sharpen your perception by giving you simple tools to manage your energy. With Myra as your guide, you will let go of old attachments and tune yourself to your innate radiance.
 
N
Nightgeist

1
Nightgeist

Nightcrawler Network

Unsubscribe
Unsubscribe
Weekly
 
Join two long time friends and lovers of the macabre on their quest to solve the unknown, hunt down monsters and commune with the dead while drinking. No spooky topic (or beverage) is off limits. Prepare to be beamed up!
 
With more than 30 years in private practice, Terry has reached literally thousands of clients seeking answers and truth. His unique and concise reading style, blending both tarot interpretation and a keen sense of clairvoyance simultaneously, coupled with his kind, non-judgmental energy, he is a shining light to people all over the world. Terry has appeared on numerous television and radio broadcasts, and is the host of AN HOUR WITH SPIRIT, since April 2009. Based in the San Francisco Bay Ar ...
 
Join Psychic Christina Ambrosino as she explores and discusses with her expert guests such topics as-- Psychic and Spiritual Arts, Holistic and Natural Health, Reincarnation,Past Lives and The Other Side as well as Psychology and Emotional Healing. Also will be included are discussions about current happenings in the world of Art,Politics, Entertainment and Humanitarian endeavors--and much more! Christina will also be taking callers on every show for live on air Psychic Readings!
 
Welcome to Europes Secret to Success with Natasha Abudarham, LIVE FROM BELGIUM. Natasha will be interviewing the Experts, the Gurus, the Mentors, the Coaches and the Geniuses, picking their brains to find out what makes an all rounded successful person and what you can do to follow in their footsteps, so you can achieve and maintain Ultimate success in all you do. Natasha will also share her learnings that literally catapulted her life from faliure to success and led her to develop her own p ...
 
Are you looking for answers? Have you ever had a "hunch" or a "gut feeling" that came true? Are you wondering if you are intuitive? Doyle Ward believes that the real question to explore is not IF you are intuitive, but HOW you are intuitive. Doyle says his quest is to help people realize that they are just missing the messages. As an intuitive life coach, teacher, grief recovery specialist, and spiritual medium, Doyle will tap into your energy to give callers insight into different areas of ...
 
The Gentle Healing Place featuring the Psychic Trio is a show hosted by Michele Woodward M.A., Psychic and Embassedor of love, joy, and compassion.... dedicated to facilitating personal growth, awareness and spirituality in the gentle way. The Trio is made up of Michele Woodward, Lia Roselli psychic, intuitive, clairvoyant, gem stone healing practitioner and spirit channel and Jim Angle psychic clairvoyant , poet and author . The trio hopes to provide a safe place for people to come to discu ...
 
Famous for seeing energy as accurately as scientific equipment, and his ability to teach anybody to affect biology , so strongly the electrical, photonic, ionic &blood microcapillary activity shows up on equipment both in front of hundreds &under double blind conditions...Steven Michael King of www.transformationalbreakthroughs.org &"Steven Michael King Presents the Best in the world" and www.strategicconsultant.orgshares with you how to use energy in daily life, develop &use psychic abiliti ...
 
DEAF FRIENDLY - A COMPLETE TRANSCRIPTION OF EACH EPISODE IS AVAILABLE IN THE SHOW NOTES, WHICH YOU CAN FIND ON www.anntheato.com. Ann Théato, International Psychic Medium and Spiritual Tutor, investigates psychic development, mediumship techniques, and paranormal science, so that you can come to understand your own innate psychic ability and expand your knowledge, whilst learning to develop a curious mind. You are an energy of intelligence and great power, an infinite being, older than time. ...
 
The Cosmic Eye podcast posts two new metaphysical shows per week: The Sunday Tarot Talk is an exploration of all things Tarot! Currently we are doing a series on the Major Arcana, exploring one card from the 22 Majors each week. Occult psychology, symbols, & TAROT FOR PERSONAL TRANSFORMATION are covered. Each Wednesday we post The Spirit Work show which is hosted by Jason Napolitano and Angel of @angelonthe8thday. A fun talk show that helps you connect with Spirit! We talk about our experien ...
 
Who’s a wounded healer? It’s any one of us who works in a caring profession and is bravely doing their own work, while helping others. My goal is to share the parallel journey we as healers walk along with our clients and how we attend to our own humanity while caring for others. My podcast is about conversations and community building, what we can learn from each other, and how we can help heal each other. We’re cultivating a space where we celebrate vulnerability, authenticity and “showing ...
 
This is a 90-minute call in show offering insights, spiritual tools and energy clearing to support you attracting your heart's desires. A near death experience lifted Amirah to higher mystical insight in 1998. Amirah human journey includes many personal hardships and physical challenges that continue to teach her the transcendent power of love and light. She is a gifted energy healer, authentic channel and an exceptional psychic. As an outstanding clairvoyant and clairaudient, she has the ab ...
 
The award-winning fantasy-comedy! In Alba Salix, overworked, cynical witch Alba tends to the health of the King, Queen and citizens of the kingdom of Farloria, with the help of her obnoxious apprentice Magnus and an absent-minded fairy named Holly. The spinoff The Axe & Crown follows the misadventures of Gubbin the troll tavernkeeper, his clueless landlord Stan and his shady niece Betula. Support us here!
 
An interactive talk radio show aimed at discussing the psychic & spiritual. We will have interesting people with an opportunity to interact with Tracy & her special guests, plus listen in to talks on a range of interesting topics as we help you develop your psychic & spiritual side.You can get readings with Tracy via her website www.tracyfance.com or email Tracy at tracy@tracyfance.com with any requests, input for the show etc. Tracy can also be found on Facebook where you can get special of ...
 
A
AGT Time

1
AGT Time

Cody Patterson & Jay Bock

Unsubscribe
Unsubscribe
Weekly
 
Cody Patterson and Jay Bock break down the best talent competition in the world, America's Got Talent. Every Thursday night, we talk about the episode that televised that week and look at each act that performed.
 
The Dead Air Dudes is home to current geek news, reviews, podcast commentary and opinions about film, music, comic-books, sci-fi, beer, and epic rants! Let us entertain, enlighten, and sometimes educate you on everything geeky, paranormal, and mind-bending with our weekly podcast! Thanks for listening, and enjoy the ride!
 
Loading …
show series
 
Georgios Piliouras, Ryann Sim, Stratis SkoulakisAbstractIn this paper we solve the problem of no-regret learning in general games. Specifically, we provide a simple and practical algorithm that achieves constant regret with fixed step-sizes. The cumulative regret of our algorithm provably decreases linearly as the step-size increases. Our findings …
 
Cody and AGT Commenter get together to cover The Clairvoyants in this kickoff to AGT Rewatchable season 2. Commenter has been away for a while and itching to get back to talking America's Got Talent and what better way to do it than going through The Clairvoyant's five performances from season 11 and break down each one. We also go through some fam…
 
Ep. 204 of the Cosmic Eye Spirit Work podcast is the first in our series of talks based on Sagittarius themes. Be sure to listen and find out how you can WIN CRYSTALS worth $88, $44, or $22! In this ep. we talk about the LADY IN BLUE VELVET and The TEMPERANCE Tarot card which is connected to the Astrological Sign Sagittarius. Angel shares his PSYCH…
 
If you’re a baby therapist (or a seasoned pro) looking for a sign, this is it! Lean into moments of extrasensory perception. Take leaps of faith toward alternative career paths. Trust that your current discomfort heralds growth. My longtime friend and one-time coworker Virginia Castillo, LCPC, is a chill, uplifting study in clearing space for all t…
 
Rocka from the Dead Air Dudes needs help! Clairvoyant ARIANE, from @video_diary_of_a_clairvoyanti performs a spiritual reading during an INSTAGRAM LIVE session and attempts to cleanse Rocka's suspected cursed being. Fascinating real live empathic session! Bring your popcorn and enjoy the show! Please like, comment and subscribe to our channel! Foll…
 
Greetings and welcome to an evening with Intuitive Coach and Clairvoyant, Michelle Gray. Join in as Michelle discusses what it is to be a medium and does actual on-air readings! Michelle has been providing energy readings for about 13 years. The accurate, descriptive information provided in her readings don't sugar coat much, and they're not just f…
 
Look, we know it's exciting. We know this is our first Free Feed of the new season with a special guest, excuse me. And we know we're back to gifting some fabulous giveaways to a lucky letter writer, pardon me...but Ronna has to address something with (Bryan) immediately, and it involves the literally dozens of messages she's received asking about …
 
Registration is open for Inner Circle Mastermind 2022 with a few spots left! http://jjsinnercirclemastermind.com Work with JJ http://jjflizanes.com/workwithjj Dee has a background in Graphic Design from the University of Georgia and a 25+ year career in sales and marketing for a global corporation. Upon retiring several years ago, she opened her ow…
 
Zechun Liu and Kwang-Ting Cheng and Dong Huang and Eric Xing and Zhiqiang ShenAbstractThe nonuniform quantization strategy for compressing neural networks usually achieves better performance than its counterpart, i.e., uniform strategy, due to its superior representational capacity. However, many nonuniform quantization methods overlook the complic…
 
Yuejiang Liu, Riccardo Cadei, Jonas Schweizer, Sherwin Bahmani, Alexandre AlahiAbstractLearning behavioral patterns from observational data has been a de-facto approach to motion forecasting. Yet, the current paradigm suffers from two shortcomings: brittle under covariate shift and inefficient for knowledge transfer. In this work, we propose to add…
 
Yucheng Tang, Dong Yang, Wenqi Li, Holger Roth, Bennett Landman, Daguang Xu, Vishwesh Nath and Ali HatamizadehAbstractVision Transformers (ViT)s have shown great performance in self-supervised learning of global and local representations that can be transferred to downstream applications. Inspired by these results, we introduce a novel self-supervi…
 
Tyler CodyAbstractThe solution methods used to realize artificial general intelligence (AGI) may not contain the formalism needed to adequately model and characterize AGI. In particular, current approaches to learning hold notions of problem domain and problem task as fundamental precepts, but it is hardly apparent that an AGI encountered in the wi…
 
Aolin XuAbstractTraditional statistical estimation, or statistical inference in general, is static, in the sense that the estimate of the quantity of interest does not change the future evolution of the quantity. In some sequential estimation problems however, we encounter the situation where the future values of the quantity to be estimated depend…
 
Alexander Lavin, Ciar\'an M. Gilligan-Lee, Alessya Visnjic, Siddha Ganju, Dava Newman, At{\i}l{\i}m G\"une\c{s} Baydin, Sujoy Ganguly, Danny Lange, Amit Sharma, Stephan Zheng, Eric P. Xing, Adam Gibson, James Parr, Chris Mattmann, Yarin GalAbstractThe development and deployment of machine learning (ML) systems can be executed easily with modern too…
 
Selim Furkan Tekin, Suleyman Serdar KozatAbstractExisting approaches to the crime prediction problem are unsuccessful in expressing the details since they assign the probability values to large regions. This paper introduces a new architecture with the graph convolutional networks (GCN) and multivariate Gaussian distributions to perform high-resolu…
 
Dyah Adila and Dongyeop KangAbstractDespite machine learning models' success in Natural Language Processing (NLP) tasks, predictions from these models frequently fail on out-of-distribution (OOD) samples. Prior works have focused on developing state-of-the-art methods for detecting OOD. The fundamental question of how OOD samples differ from in-dis…
 
Vedant Nanda and Ayan Majumdar and Camila Kolling and John P. Dickerson and Krishna P. Gummadi and Bradley C. Love and Adrian WellerAbstractWe argue that a valuable perspective on when a model learns \textit{good} representations is that inputs that are mapped to similar representations by the model should be perceived similarly by humans. We use \…
 
Xinxing Yang and Genke Yang and Jian ChuAbstractComputational drug repositioning technology is an effective tool to accelerate drug development. Although this technique has been widely used and successful in recent decades, many existing models still suffer from multiple drawbacks such as the massive number of unvalidated drug-disease associations …
 
Jun Lv, Qiaojun Yu, Lin Shao, Wenhai Liu, Wenqiang Xu, Cewu LuAbstractBuilding general-purpose robots to perform an enormous amount of tasks in a large variety of environments at the human level is notoriously complicated. It requires the robot learning to be sample-efficient, generalizable, compositional, and incremental. In this work, we introduc…
 
Zeki BilginAbstractInserting a backdoor into the joint model in federated learning (FL) is a recent threat raising concerns. Existing studies mostly focus on developing effective countermeasures against this threat, assuming that backdoored local models, if any, somehow reveal themselves by anomalies in their gradients. However, this assumption nee…
 
Aravind Reddy, Ryan A. Rossi, Zhao Song, Anup Rao, Tung Mai, Nedim Lipka, Gang Wu, Eunyee Koh, Nesreen AhmedAbstractIn this paper, we introduce the online and streaming MAP inference and learning problems for Non-symmetric Determinantal Point Processes (NDPPs) where data points arrive in an arbitrary order and the algorithms are constrained to use …
 
Assem Sadek, Guillaume Bono, Boris Chidlovskii, Christian WolfAbstractVisual navigation by mobile robots is classically tackled through SLAM plus optimal planning, and more recently through end-to-end training of policies implemented as deep networks. While the former are often limited to waypoint planning, but have proven their efficiency even on …
 
Dezhong Yao, Wanning Pan, Yao Wan, Hai Jin, Lichao SunAbstractThe underlying assumption of recent federated learning (FL) paradigms is that local models usually share the same network architecture as the global model, which becomes impractical for mobile and IoT devices with different setups of hardware and infrastructure. A scalable federated lear…
 
Bogdan Mazoure, Ilya Kostrikov, Ofir Nachum, Jonathan TompsonAbstractReinforcement learning (RL) agents are widely used for solving complex sequential decision making tasks, but still exhibit difficulty in generalizing to scenarios not seen during training. While prior online approaches demonstrated that using additional signals beyond the reward f…
 
Julien Denize, Jaonary Rabarisoa, Astrid Orcesi, Romain H\'erault, St\'ephane CanuAbstractContrastive representation learning has proven to be an effective self-supervised learning method. Most successful approaches are based on the Noise Contrastive Estimation (NCE) paradigm and consider different views of an instance as positives and other instan…
 
Hyunmin Lee and Jaesik LeeAbstractIn this paper, we introduce a new dataset, named InstaOrder, that can be used to understand the spatial relationships of instances in a 3D space. The dataset consists of 2.9M annotations of geometric orderings for class-labeled instances in 101K natural scenes. The scenes were annotated by 3,659 crowd-workers regar…
 
Marcus M. Scheunemann, Christoph Salge, Daniel Polani, Kerstin DautenhahnAbstractA challenge in using robots in human-inhabited environments is to design behavior that is engaging, yet robust to the perturbations induced by human interaction. Our idea is to imbue the robot with intrinsic motivation (IM) so that it can handle new situations and appe…
 
Quentin Paletta, Anthony Hu, Guillaume Arbod, Joan LasenbyAbstractEfficient integration of solar energy into the electricity mix depends on a reliable anticipation of its intermittency. A promising approach to forecast the temporal variability of solar irradiance resulting from the cloud cover dynamics is based on the analysis of sequences of groun…
 
Geon Yeong Park, Sang Wan LeeAbstractAdversarial learning strategy has demonstrated remarkable performance in dealing with single-source Domain Adaptation (DA) problems, and it has recently been applied to Multi-source DA (MDA) problems. Although most existing MDA strategies rely on a multiple domain discriminator setting, its effect on the latent …
 
Weichuan Wang, Zhiwen Xie, Jin Liu, Yucong Duan, Bo Huang, Junsheng ZhangAbstractKnowledge graphs (KGs) on COVID-19 have been constructed to accelerate the research process of COVID-19. However, KGs are always incomplete, especially the new constructed COVID-19 KGs. Link prediction task aims to predict missing entities for (e, r, t) or (h, r, e), w…
 
Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Marc PollefeysAbstractWe propose a method for jointly estimating the 3D motion, 3D shape, and appearance of highly motion-blurred objects from a video. To this end, we model the blurred appearance of a fast moving object in a generative fashion by parametrizing its 3D position, rotation, velocity,…
 
Amin Asadi and Sarah Nurre Pinkley and Martijn MesAbstractWe consider the problem of optimizing the distribution operations at a drone hub that dispatches drones to different geographic locations generating stochastic demands for medical supplies. Drone delivery is an innovative method that introduces many benefits, such as low-contact delivery, th…
 
Yoad Tewel, Yoav Shalev, Idan Schwartz, Lior WolfAbstractRecent text-to-image matching models apply contrastive learning to large corpora of uncurated pairs of images and sentences. While such models can provide a powerful score for matching and subsequent zero-shot tasks, they are not capable of generating caption given an image. In this work, we …
 
Izzy from the Dead Air Dudes reviews season 1 of "Hit-Monkey"; exclusively on Hulu. What did you guys think of the animated series? Let us know in the comments and please subscribe to the podcast and YouTube channel! Thanks for listening! follow us on our social media. Tik tok: @deadairdudes twitter: @deadairdudesizz instagram: deadairdudes…
 
Fucai Lin, Xiyan Cao, Jinjin LiAbstractWe systematically study some basic properties of the theory of pre-topological spaces, such as, pre-base, subspace, axioms of separation, connectedness, etc. Pre-topology is also known as knowledge space in the theory of knowledge structures. We discuss the language of axioms of separation of pre-topology in t…
 
Wolfgang Konen and Samineh BagheriAbstractThis paper covers n-tuple-based reinforcement learning (RL) algorithms for games. We present new algorithms for TD-, SARSA- and Q-learning which work seamlessly on various games with arbitrary number of players. This is achieved by taking a player-centered view where each player propagates his/her rewards b…
 
Chao-Han Huck Yang, Zhengling Qi, Yifan Cui, Pin-Yu ChenAbstractDeep Reinforcement Learning (DRL) has demonstrated great potentials in solving sequential decision making problems in many applications. Despite its promising performance, practical gaps exist when deploying DRL in real-world scenarios. One main barrier is the over-fitting issue that l…
 
Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan Yuille, Adam KortylewskiAbstractEnhancing the robustness in real-world scenarios has been proven very challenging. One reason is that existing robustness benchmarks are limited, as they either rely on synthetic data or they simply measure robustness as generali…
 
Usman Cheema, Mobeen Ahmad, Dongil Han, and Seungbin MoonAbstractVisible-to-thermal face image matching is a challenging variate of cross-modality recognition. The challenge lies in the large modality gap and low correlation between visible and thermal modalities. Existing approaches employ image preprocessing, feature extraction, or common subspac…
 
Aya Abdelsalam Ismail, H\'ector Corrada Bravo and Soheil FeiziAbstractSaliency methods have been widely used to highlight important input features in model predictions. Most existing methods use backpropagation on a modified gradient function to generate saliency maps. Thus, noisy gradients can result in unfaithful feature attributions. In this pap…
 
Yizhi Yuan, Marcelo MattarAbstractPrioritized experience replay is a reinforcement learning technique shown to speed up learning by allowing agents to replay useful past experiences more frequently. This usefulness is quantified as the expected gain from replaying the experience, and is often approximated as the prediction error (TD-error) observed…
 
Mohammad Javad Shafiee, Mahmoud Famouri, Gautam Bathla, Francis Li, and Alexander WongAbstractA critical aspect in the manufacturing process is the visual quality inspection of manufactured components for defects and flaws. Human-only visual inspection can be very time-consuming and laborious, and is a significant bottleneck especially for high-thr…
 
Jiajun Liu, Brano Kusy, Ross Marchant, Brendan Do, Torsten Merz, Joey Crosswell, Andy Steven, Nic Heaney, Karl von Richter, Lachlan Tychsen-Smith, David Ahmedt-Aristizabal, Mohammad Ali Armin, Geoffrey Carlin, Russ Babcock, Peyman Moghadam, Daniel Smith, Tim Davis, Kemal El Moujahid, Martin Wicke, Megha MalpaniAbstractCrown-of-Thorn Starfish (COTS)…
 
Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven Hoi, Weinan EAbstractIt is not clear yet why ADAM-alike adaptive gradient algorithms suffer from worse generalization performance than SGD despite their faster training speed. This work aims to provide understandings on this generalization gap by analyzing their local convergence behaviors. Spec…
 
Ted FujimotoAbstractComplex systems show how surprising and beautiful phenomena can emerge from structures or agents following simple rules. With the recent success of deep reinforcement learning (RL), a natural path forward would be to use the capabilities of multiple deep RL agents to produce emergent behavior of greater benefit and sophisticatio…
 
Zhao Han and Holly A. YancoAbstractMost research on human-robot handovers focuses on the development of comfortable and efficient HRI; few have studied handover failures. If a failure occurs in the beginning of the interaction, it prevents the whole handover process and destroys trust. Here we analyze the underlying reasons why people want explanat…
 
Xiang Deng and Zhongfei ZhangAbstractKnowledge distillation (KD) transfers knowledge from a teacher network to a student by enforcing the student to mimic the outputs of the pretrained teacher on training data. However, data samples are not always accessible in many cases due to large data sizes, privacy, or confidentiality. Many efforts have been …
 
Xiaofei Sun, Jiwei Li, Xiaoya Li, Ziyao Wang, Tianwei Zhang, Han Qiu, Fei Wu, Chun FanAbstractIn this work, we propose a new and general framework to defend against backdoor attacks, inspired by the fact that attack triggers usually follow a \textsc{specific} type of attacking pattern, and therefore, poisoned training examples have greater impacts …
 
Bin Li, Fei Xia, Yixuan Weng, Xiusheng Huang, Bin Sun, Shutao LiAbstractAcronym disambiguation means finding the correct meaning of an ambiguous acronym in a given sentence from the dictionary, which is one of the key points for scientific document understanding (SDU@AAAI-22). Recently, many attempts have tried to solve this problem via fine-tuning…
 
Loading …

Quick Reference Guide

Copyright 2021 | Sitemap | Privacy Policy | Terms of Service
Google login Twitter login Classic login