hunoutl/paperlists huggingface dataset:
Title: A Fine-Tuning Approach to Belief State Modeling
Authors: Samuel Sokota, Hengyuan Hu, David Wu, Zico Kolter, Jakob Foerster, Noam Brown
Affiliations: Meta AI; Oxford University; Carnegie Mellon University
Conference: iclr 2022 (main track)
Keywords: imperfect-information;partial observability;search;decision-time planning
Decision: Poster
Title: Leveraging Automated Unit Tests for Unsupervised Code Translation
Authors: Baptiste Roziere, Jie Zhang, François Charton, Mark Harman, Gabriel Synnaeve, Guillaume Lample
Affiliations: Facebook AI Research; Facebook AI Research, Paris-Dauphine University; University College London; Facebook
Conference: iclr 2022 (main track)
Keywords: unsupervised;translation;code;self-training;pseudo-labelling;unit tests;programming languages;deep learning;transformer
Decision: Spotlight
Title: FILIP: Fine-grained Interactive Language-Image Pre-Training
Authors: Lewei Yao, Runhui Huang, LU HOU, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, Chunjing Xu
Affiliations: Huawei Noah’s Ark Lab, Hong Kong University of Science and Technology; Huawei Noah’s Ark Lab; Sun Yat-sen University
Conference: iclr 2022 (main track)
Keywords: Visual-language pretraining;Language-Image Pretraining;Multi-modality model
Decision: Poster
Title: No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models
Authors: Chen Liang, Haoming Jiang, Simiao Zuo, Xz W, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao
Affiliations: Georgia Institute of Technology; Microsoft Azure AI; Amazon; Microsoft Research
Conference: iclr 2022 (main track)
Keywords: Training Large Transformer Models;Reducing Model Redundancy;Parameter Sensitivity;Adaptive Learning Rate Method;Model Generalization;Model Pruning
Decision: Poster
Title: Non-Linear Operator Approximations for Initial Value Problems
Authors: Gaurav Gupta, Xiongye Xiao, Radu Balan, Paul Bogdan
Affiliations: Department of Mathematics and the Norbert Wiener Center for Harmonic Analysis and Applications, University of Maryland, College Park, MD 20742, USA; Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089, USA
Conference: iclr 2022 (main track)
Keywords: exponential operators;initial value problem;pade approximation;multiwavelets;partial differential equations
Decision: Poster
Title: Objects in Semantic Topology
Authors: Shuo Yang, Peize Sun, Yi Jiang, Xiaobo Xia, Ruiheng Zhang, Zehuan Yuan, Changhu Wang, Ping Luo, Min Xu
Affiliations: Beijing Institute of Technology; The University of Hong Kong; University of Technology Sydney; University of Sydney; ByteDance AI Lab
Conference: iclr 2022 (main track)
Decision: Poster
Title: FedPara: Low-rank Hadamard Product for Communication-Efficient Federated Learning
Authors: Nam Hyeon-Woo, Moon Ye-Bin, Tae-Hyun Oh
Affiliations: Department of Electrical Engineering, POSTECH; Department of Electrical Engineering, POSTECH; Graduate School of AI, POSTECH; Yonsei University
Conference: iclr 2022 (main track)
Keywords: Federated learning;Parameterization;Communication efficiency
Decision: Poster
Title: Incremental False Negative Detection for Contrastive Learning
Authors: Tsai-Shien Chen, Wei-Chih Hung, Hung-Yu Tseng, Shao-Yi Chien, Ming-Hsuan Yang
Affiliations: National Taiwan University; Yonsei University; Waymo LLC; University of California, Merced; Google Research
Conference: iclr 2022 (main track)
Keywords: Self-supervised learning;Contrastive learning;Representation learning;Clustering-based learning
Decision: Poster
Title: Equivariant Subgraph Aggregation Networks
Authors: Beatrice Bevilacqua, Fabrizio Frasca, Derek Lim, Balasubramaniam Srinivasan, Chen Cai, GOPINATH BALAMURUGAN, Michael Bronstein, Haggai Maron
Affiliations: Purdue University; UCSD CSE; University of Tuebingen; NVIDIA Research; MIT CSAIL; Imperial College London & Twitter
Conference: iclr 2022 (main track)
Keywords: Graph Neural Networks;Expressive power;Equivariance;Weisfeiler-Leman
Decision: Spotlight
Title: The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks
Authors: Rahim Entezari, Hanie Sedghi, Olga Saukh, Behnam Neyshabur
Affiliations: TU Graz / CSH Vienna; Google Research, Blueshift Team; Google Research, Brain Team
Conference: iclr 2022 (main track)
Keywords: Permutation;Invariance;Mode Connectivity;Energy Barrier;Loss landscape;Deep Learning
Decision: Poster
Title: Controlling the Complexity and Lipschitz Constant improves Polynomial Nets
Authors: Zhenyu Zhu, Fabian Latorre, Grigorios Chrysos, Volkan Cevher
Affiliations: EPFL, Switzerland
Conference: iclr 2022 (main track)
Keywords: Polynomial Nets;Rademacher Complexity;Lipschitz constant;Coupled CP decomposition
Decision: Poster
Title: High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize
Authors: Ali Kavis, Kfir Y Levy, Volkan Cevher
Affiliations: Technion; EPFL (LIONS)
Conference: iclr 2022 (main track)
Keywords: adaptive methods;nonconvex optimization;stochastic optimization;high probability bounds
Decision: Poster
Title: Revisiting Over-smoothing in BERT from the Perspective of Graph
Authors: Han Shi, JIAHUI GAO, Hang Xu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong, Stephen Lee, James Kwok
Affiliations: The University of Hong Kong; Hong Kong University of Science and Technology; Sun Yat-sen University; Huawei Noah’s Ark Lab
Conference: iclr 2022 (main track)
Keywords: BERT;Over-smoothing;Transformer
Decision: Spotlight
Title: Spatiotemporal Characterization of Gait from Monocular Videos with Transformers
Affiliations: Shirley Ryan AbilityLab, Department of Physical Medicine and Rehabilitation, Northwestern University; Shirley Ryan AbilityLab; Department of Neuroscience, Baylor College of Medicine
Conference: iclr 2022 (main track)
Keywords: human pose estimation;explainable AI;kinematics;gait;rehabilitation;activity recognition
Decision: Withdraw
Title: Relational Surrogate Loss Learning
Authors: Tao Huang, Zekang Li, Hua Lu, Yong Shan, Shusheng Yang, Yang Feng, Fei Wang, Shan You, Chang Xu
Affiliations: Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences (ICT/CAS); SenseTime Research; University of Science and Technology of China; School of Computer Science, Faculty of Engineering, The University of Sydney; Huazhong University of Science and Technology
Conference: iclr 2022 (main track)
Decision: Poster
Title: DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals
Authors: Cédric Allain, Alexandre Gramfort, Thomas Moreau
Affiliations: Université Paris-Saclay, Inria, CEA, Palaiseau, 91120, France
Conference: iclr 2022 (main track)
Keywords: Electrophysiology;Neuroscience;Temporal point processes;Convolutional Dictionary Learning
Decision: Poster
Title: Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios
Authors: Vaisakh Shaj, Dieter Büchler, Rohit Sonker, Philipp Becker, Gerhard Neumann
Affiliations: Autonomous Learning Robots, KIT, Germany; LCAS, University Of Lincoln, UK; Indian Institute Of Technology, Kanpur; Max Planck Institute for Intelligent Systems, T¨ubingen, Germany; Autonomous Learning Robots, KIT, Germany
Conference: iclr 2022 (main track)
Keywords: State Space Models;Changing Dynamics;Recurrent Neural Networks;Multi Task Learning
Decision: Poster
Title: Signing the Supermask: Keep, Hide, Invert
Authors: Nils Koster, Oliver Grothe, Achim Rettinger
Affiliations: Department of Computational Linguistics and Digital Humanities, Trier University; Department of Applied Econometrics, Karlsruhe Institute of Technology; Department of Analytics and Statistics, Karlsruhe Institute of Technology
Conference: iclr 2022 (main track)
Keywords: Neural Networks;Supermask;Lottery Ticket Hypothesis;Pruning;Weight Initialization;Interpretation;Subnetworks
Decision: Poster
Title: Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions
Authors: Arda Sahiner, Tolga Ergen, Batu Ozturkler, Burak Bartan, John M Pauly, Morteza Mardani, Mert Pilanci
Affiliations: Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA
Conference: iclr 2022 (main track)
Keywords: Wasserstein GAN;convex-concave game;saddle points;generative models;quadratic;polynomial activation;convex duality
Decision: Poster
Title: Cut the CARP: Fishing for zero-shot story evaluation
Conference: iclr 2022 (main track)
Keywords: Story Generation;Story Evaluation;Dataset;Storytelling;NLP;Evaluation;Contrastive learning;Language Models;Fine Tuning;Efficiency;Interactive Machine Learning;Narrative;Creativity;Human Centered AI;Creativity;Generative Models;World Models;Reader Models
Decision: Withdraw
Title: Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks
Authors: Haorui Wang, Haoteng Yin, Muhan Zhang, Pan Li
Affiliations: School of Computer Science, Wuhan University; Institute for Artiﬁcial Intelligence, Peking University & BIGAI; Department of Computer Science, Purdue University
Conference: iclr 2022 (main track)
Keywords: Graph Neural Network;Spectral Graph Theory;System Stability
Decision: Poster
Title: On Robust Prefix-Tuning for Text Classification
Authors: Zonghan Yang, Yang Liu
Affiliations: Department of Computer Science and Technology, Institute for AI Industry Research, Institute for Artificial Intelligence, Tsinghua University, Beijing, 100084, China
Conference: iclr 2022 (main track)
Keywords: prefix-tuning;pretrained language models;text classification;robustness in NLP;optimal control
Decision: Poster
Title: Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation
Authors: Bingbin Liu, Elan Rosenfeld, Pradeep K Ravikumar, Andrej Risteski
Affiliations: Machine Learning Department, Carnegie Mellon University
Conference: iclr 2022 (main track)
Keywords: noise contrastive estimation;contrastive learning;unsupervised learning;theory
Decision: Spotlight
Title: Assessing and Developing Text-Based Agents for Morally Salient Scenarios
Authors: Dan Hendrycks, Mantas Mazeika, Andy Zou, Sahil Patel, Christine Zhu, Jesus Navarro, Dawn Song, Bo Li, Jacob Steinhardt
Conference: iclr 2022 (main track)
Keywords: Transformers;RL;data bias;reward bias;machine ethics;value learning;safe exploration
Decision: Withdraw
Title: Sampling with Mirrored Stein Operators
Authors: Jiaxin Shi, Chang Liu, Lester Mackey
Affiliations: Microsoft Research Asia; Microsoft Research New England
Conference: iclr 2022 (main track)
Keywords: Stein's method;Sampling;Mirror descent;Natural gradient descent;Probabilistic inference;Bayesian inference;Post-selection inference;Stein operators
Decision: Spotlight
Title: An Information Fusion Approach to Learning with Instance-Dependent Label Noise
Authors: Zhimeng Jiang, Kaixiong Zhou, Zirui Liu, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
Affiliations: Samsung Electronics; Texas A&M University; Rice University; Samsung Research America
Conference: iclr 2022 (main track)
Keywords: Instance-dependent label noise;posterior transition matrix;statiscally consistent classifier
Decision: Poster
Title: Surrogate Gap Minimization Improves Sharpness-Aware Training
Authors: Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha C Dvornek, sekhar tatikonda, James s Duncan, Ting Liu
Affiliations: Yale University; Google Research
Conference: iclr 2022 (main track)
Keywords: generalization;sharpness-aware minimization;surrogate gap;deep learning
Decision: Poster
Title: Symbolic Learning to Optimize: Towards Interpretability and Scalability
Authors: Wenqing Zheng, Tianlong Chen, Ting-Kuei Hu, Zhangyang Wang
Affiliations: Texas A&M University; The University of Texas at Austin
Conference: iclr 2022 (main track)
Keywords: Symbolic Regression;Learning To Optimize;Interpretability
Decision: Poster
Title: Fortuitous Forgetting in Connectionist Networks
Authors: Hattie Zhou, Ankit Vani, Hugo Larochelle, Aaron Courville
Affiliations: Mila, Université de Montréal; Mila, Université de Montréal, CIFAR Fellow; Mila, CIFAR Fellow, Google Research, Brain Team
Conference: iclr 2022 (main track)
Keywords: Neural Networks;Generalization;Iterative Training;Compositionality;Iterated Learning
Decision: Poster
Title: Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
Authors: Ningyu Zhang, Luoqiu Li, Xiang Chen, Shumin Deng, Zhen Bi, Chuanqi Tan, Fei Huang, Huajun Chen
Affiliations: Alibaba Group; College of Computer Science and Technology, Zhejiang University; School of Software Technology, Zhejiang University; Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies; College of Computer Science and Technology, Zhejiang University; Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies; College of Computer Science and Technology, Zhejiang University; Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies; Hangzhou Innovation Center, Zhejiang University; School of Software Technology, Zhejiang University; Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies
Conference: iclr 2022 (main track)
Keywords: prompt-tuning;pre-trained language model;few-shot learning
Decision: Poster
Title: Scale Efficiently: Insights from Pretraining and Finetuning Transformers
Authors: Yi Tay, Mostafa Dehghani, Jinfeng Rao, William Fedus, Samira Abnar, Hyung Won Chung, SHARAN NARANG, Dani Yogatama, Ashish Vaswani, Donald Metzler
Affiliations: Google Research & DeepMind; Google Research
Conference: iclr 2022 (main track)
Keywords: transformers;attention;deep learning
Decision: Poster
Title: Dynamic Token Normalization improves Vision Transformers
Authors: Wenqi Shao, Yixiao Ge, Zhaoyang Zhang, XUYUAN XU, Xiaogang Wang, Ying Shan, Ping Luo
Affiliations: The University of Hong Kong; AI Technology Center of Tencent Video; ARC Lab, Tencent PCG; The Chinese University of Hong Kong
Conference: iclr 2022 (main track)
Keywords: classification;Normalization;transformer
Decision: Poster
Title: LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations
Authors: Jaehoon Lee, Jeon Jinsung, Sheo yon Jhin, Jihyeon Hyeong, Jayoung Kim, Minju Jo, Kook Seungji, Noseong Park
Affiliations: Yonsei University, Seoul, South Korea
Conference: iclr 2022 (main track)
Decision: Poster
Title: A fast and accurate splitting method for optimal transport: analysis and implementation
Authors: Vien Mai, Jacob Lindbäck, Mikael Johansson
Affiliations: KTH Royal Institute of Technology, jlindbac@kth.se; KTH Royal Institute of Technology, mikaelj@kth.se; Ericsson AB, vien.mai@ericsson.com
Conference: iclr 2022 (main track)
Keywords: Optimal transport;Operator splitting;Douglas-Rachford;ADMM;GPUs
Decision: Poster
Title: Learning to Dequantise with Truncated Flows
Authors: Shawn Tan, Chin-Wei Huang, Alessandro Sordoni, Aaron Courville
Affiliations: Mila, University of Montreal; Microsoft Research, Montreal; Mila, University of Montreal, Canada CIFAR AI Chair
Conference: iclr 2022 (main track)
Keywords: variational inference;variational bayes;dequantisation;normalizing flows
Decision: Poster
Title: Perceiver IO: A General Architecture for Structured Inputs & Outputs
Authors: Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, Fengning Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier Henaff, Matthew Botvinick, Andrew Zisserman, Oriol Vinyals, Joao Carreira
Affiliations: DeepMind
Conference: iclr 2022 (main track)
Keywords: Perceiver;BERT;natural language processing;optical flow;computer vision;multimodal;GLUE;ImageNet;StarCraft
Decision: Spotlight
Title: Dual Lottery Ticket Hypothesis
Authors: Yue Bai, Huan Wang, Zhiqiang Tao, Kunpeng Li, Yun Fu
Affiliations: Meta Research, Burlingame, CA, USA; Northeastern University, Boston, MA, USA; Santa Clara University, Santa Clara, CA, USA
Conference: iclr 2022 (main track)
Keywords: Dual Lottery Ticket Hypothesis;Sparse Network Training
Decision: Poster
Title: Gradient Step Denoiser for convergent Plug-and-Play
Authors: Samuel Hurault, Arthur Leclaire, Nicolas Papadakis
Affiliations: Univ. Bordeaux, Bordeaux INP, CNRS, IMB, UMR 5251, F-33400 Talence, France
Conference: iclr 2022 (main track)
Keywords: Plug-and-Play;Inverse Problem;Image Restoration;Denoising
Decision: Poster
Title: Quadtree Attention for Vision Transformers
Authors: Shitao Tang, Jiahui Zhang, Siyu Zhu, Ping Tan
Affiliations: Alibaba A.I. Lab; Simon Fraser University
Conference: iclr 2022 (main track)
Keywords: Vision Transformer;Efficient Transformer;Feature matching;Stereo;image classification;detection;3D Vision
Decision: Poster
Title: Efficient Self-supervised Vision Transformers for Representation Learning
Authors: Chunyuan Li, Jianwei Yang, Pengchuan Zhang, Mei Gao, Bin Xiao, Xiyang Dai, Lu Yuan, Jianfeng Gao
Affiliations: Microsoft Research at Redmond; Microsoft Cloud + AI
Conference: iclr 2022 (main track)
Keywords: self-supervised learning;vision transformers;non-contrastive region-matching task
Decision: Poster
Title: Gradient Importance Learning for Incomplete Observations
Authors: Qitong Gao, Dong Wang, Joshua Amason, Siyang Yuan, Chenyang Tao, Ricardo Henao, Majda Hadziahmetovic, Lawrence Carin, Miroslav Pajic
Affiliations: Duke University, USA; Duke University, USA; King Abdullah University of Science and Technology, Saudi Arabia
Conference: iclr 2022 (main track)
Keywords: Missing Data;Reinforcement Learning;Representation Learning
Decision: Poster
Title: Pretrained Language Model in Continual Learning: A Comparative Study
Authors: Tongtong Wu, Massimo Caccia, Zhuang Li, Yuan-Fang Li, Guilin Qi, Gholamreza Haffari
Affiliations: Southeast University, Monash University; Monash University; MILA; Southeast University
Conference: iclr 2022 (main track)
Keywords: Continual Learning;Pre-trained Language Model
Decision: Poster
Title: AS-MLP: An Axial Shifted MLP Architecture for Vision
Authors: Dongze Lian, Zehao Yu, Xing Sun, Shenghua Gao
Affiliations: ShanghaiTech University & Shanghai Engineering Research Center of Intelligent Vision and Imaging & Shanghai Engineering Research Center of Energy Efficient and Custom AI IC; Youtu Lab, Tencent; ShanghaiTech University
Conference: iclr 2022 (main track)
Keywords: Architecture Design;MLP;Classification;Detection;Segmentation
Decision: Poster
Title: Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models
Authors: Liam H Fowl, Jonas Geiping, Wojciech Czaja, Micah Goldblum, Tom Goldstein
Affiliations: Center for Data Science, New York University; Department of Computer Science, University of Maryland; Department of Mathematics, University of Maryland
Conference: iclr 2022 (main track)
Keywords: Privacy;Federated Learning;Gradient Inversion
Decision: Poster
Title: Structure-Aware Transformer Policy for Inhomogeneous Multi-Task Reinforcement Learning
Authors: Sunghoon Hong, Deunsol Yoon, Kee-Eung Kim
Affiliations: Kim Jaechul Graduate School of AI, KAIST, Daejeon, Republic of Korea; School of Computing, KAIST, Daejeon, Republic of Korea
Conference: iclr 2022 (main track)
Keywords: Multitask Reinforcement Learning;Modular Reinforcement Learning;Transfer Learning;Transformer;Structural Embedding
Decision: Poster
Title: Wiring Up Vision: Minimizing Supervised Synaptic Updates Needed to Produce a Primate Ventral Stream
Authors: Franziska Geiger, Martin Schrimpf, Tiago Marques, James DiCarlo
Affiliations: Department of Brain and Cognitive Sciences, MIT; Center for Brains, Minds and Machines, MIT; McGovern Institute for Brain Research, MIT; Department of Brain and Cognitive Sciences, MIT; Center for Brains, Minds and Machines, MIT; McGovern Institute for Brain Research, MIT; University of Augsburg; Ludwig Maximilian University; Technical University of Munich
Conference: iclr 2022 (main track)
Keywords: computational neuroscience;primate visual ventral stream;convolutional neural networks;biologically plausible learning
Decision: Spotlight
Title: End-to-End Learning of Probabilistic Hierarchies on Graphs
Authors: Daniel Zügner, Bertrand Charpentier, Morgane Ayle, Sascha Geringer, Stephan Günnemann
Affiliations: Technical University of Munich
Conference: iclr 2022 (main track)
Keywords: hierarchical clustering;graphs;networks;graph mining;network mining;graph custering
Decision: Poster
Title: On the Convergence of mSGD and AdaGrad for Stochastic Optimization
Authors: Ruinan Jin, Yu XING, Xingkang He
Affiliations: Division of Decision and Control Systems, KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden; LSC, NCMIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China; School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China; Department of Electrical Engineering, University of Notre Dame, IN, USA
Conference: iclr 2022 (main track)
Keywords: stochastic gradient descent;adaptive gradient algorithm;asymptotic convergence
Decision: Poster
Title: Properties from mechanisms: an equivariance perspective on identifiable representation learning
Authors: Kartik Ahuja, Jason Hartford, Yoshua Bengio
Affiliations: Mila - Quebec AI Institute, Universit ´e de Montr ´eal, Quebec, Canada
Conference: iclr 2022 (main track)
Keywords: representation learning;equivariance;independent component analysis;ICA;autoencoders
Decision: Spotlight
Title: Finetuned Language Models are Zero-Shot Learners
Authors: Jason Wei, Maarten Bosma, Vincent Zhao, Kelvin Guu, Wei Yu, Brian Lester, Nan Du, Andrew Dai, Quoc V Le
Affiliations: Google Research
Conference: iclr 2022 (main track)
Keywords: natural language processing;zero-shot learning;language models
Decision: Oral
Title: Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations
Authors: Rumen R Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic
Affiliations: Facebook AI Research; MIT Physics; MIT EECS; MIT CSAIL & BCS; MIT-IBM Watson AI Lab; MIT CSAIL
Conference: iclr 2022 (main track)
Keywords: self-supervised learning;contrastive learning;photonics science
Decision: Poster
Title: Compositional Training for End-to-End Deep AUC Maximization
Authors: Zhuoning Yuan, Zhishuai Guo, Nitesh Chawla, Tianbao Yang
Affiliations: Computer Science & Engineering, University of Notre Dame; Department of Computer Science, University of Iowa
Conference: iclr 2022 (main track)
Keywords: Compositional Training;Imbalanced Losses;AUC optimization;Deep Learning
Decision: Spotlight
Title: PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions
Authors: Zhaoqi Leng, Mingxing Tan, Chenxi Liu, Ekin Cubuk, Jay Shi, Shuyang Cheng, Dragomir Anguelov
Affiliations: Google LLC; Waymo LLC
Conference: iclr 2022 (main track)
Keywords: classification;computer vision;loss
Decision: Poster
Title: Constrained Physical-Statistics Models for Dynamical System Identification and Prediction
Authors: Jérémie DONA, Marie Déchelle, patrick gallinari, Marina Levy
Affiliations: Sorbonne Université, CNRS, LOCEAN-IPSL, F-75005 Paris, France; Sorbonne Université, CNRS, ISIR, F-75005 Paris, France; Criteo AI Labs, Paris, France; Sorbonne Université, CNRS, ISIR, F-75005 Paris, France
Conference: iclr 2022 (main track)
Keywords: Deep Learning;Hybrid Models;Differential Equations
Decision: Poster
Title: Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games
Authors: Stefanos Leonardos, Will Overman, Ioannis Panageas, Georgios Piliouras
Affiliations: Singapore University of Technology and Design; University of California, Irvine
Conference: iclr 2022 (main track)
Keywords: Multi-agent Reinforcement Learning;Markov Potential Games;Policy Gradient
Decision: Poster
Title: Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming
Authors: Sachin Konan, Esmaeil Seraj, Matthew Gombolay
Affiliations: Georgia Institute of Technology, Atlanta, GA 30332, USA
Conference: iclr 2022 (main track)
Keywords: Multi-agent Reinforcement Learning;Cooperation and Coordination;Policy Gradient Optimization;Mutual Information;Iterated Reasoning
Decision: Poster