hunoutl/paperlists huggingface dataset:
Title: Differentiable Canonical Correlation Analysis
Authors: Matthias Dorfer, Jan Schlüter and Gerhard Widmer
Affiliations: Department of Computational Perception, Johannes Kepler University Linz, Linz, 4040, Austria; The Austrian Research Institute for Artiﬁcial Intelligence, Vienna, 1010, Austria
Conference: iclr 2017 (main track)
Keywords: Multi-modal learning
Decision: Reject
Title: NETWORK INSENSITIVITY TO PARAMETER NOISE VIA PARAMETER ATTACK DURING TRAINING
Authors: Julian Büchel, Fynn Faber, Dylan R Muir
Affiliations: IBM Research - Zurich, SynSense, Zürich, Switzerland, ETH Zürich, Switzerland; ETH Zürich, Switzerland; SynSense, Zürich, Switzerland
Conference: iclr 2022 (main track)
Keywords: parameter attack;adversarial attack;neural network;deep learning;optimisation;neuromorphic processor
Decision: Poster
Title: Fast Differentiable Matrix Square Root
Authors: Yue Song, Nicu Sebe, Wei Wang
Affiliations: Department of Information Engineering and Computer Science (DISI), University of Trento, Trento, TN 38123, Italy
Conference: iclr 2022 (main track)
Keywords: Differentiabl Matrix Square Root;Differentiable Matrix Decomposition;Vision Transformers
Decision: Poster
Title: SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models
Authors: Zaccharie Ramzi, Florian Mannel, Shaojie Bai, Jean-Luc Starck, Philippe Ciuciu, Thomas Moreau
Affiliations: Carnegie Mellon University, Pittsburgh, USA; Inria (Parietal), Gif-sur-Yvette, France; AIM, CEA, CNRS, Gif-sur-Yvette, France; University of Graz, Graz, Austria; CEA (Neurospin & Cosmostat), Inria (Parietal), Gif-sur-Yvette, France; CEA (Neurospin), Inria (Parietal), Gif-sur-Yvette, France
Conference: iclr 2022 (main track)
Keywords: implicit models;bi-level optimization;quasi-newton methods
Decision: Spotlight
Title: PER-ETD: A Polynomially Efficient Emphatic Temporal Difference Learning Method
Authors: Ziwei Guan, Tengyu Xu, Yingbin Liang
Affiliations: Department of Electrical and Computer Engineering, Ohio State University, Columbus, OH 43210, USA
Conference: iclr 2022 (main track)
Keywords: emphatic temporal difference;finite-time analysis;off-policy evaluation;reinforcement learning
Decision: Poster
Title: Non-Parallel Text Style Transfer with Self-Parallel Supervision
Authors: Ruibo Liu, CHONGYANG GAO, Chenyan Jia, Guangxuan Xu, Soroush Vosoughi
Affiliations: University of California, Los Angeles; Northwestern University; Dartmouth College; University of Texas, Austin
Conference: iclr 2022 (main track)
Keywords: style transfer;non-parallel corpus;imitation learning;language models;political stance transfer
Decision: Poster
Title: Invariant Causal Representation Learning for Out-of-Distribution Generalization
Authors: Chaochao Lu, Yuhuai Wu, José Miguel Hernández Lobato, Bernhard Schoelkopf
Affiliations: 1University of Cambridge, 2MPI for Intelligent Systems; 1University of Cambridge, 5The Alan Turing Institute; 2MPI for Intelligent Systems; 3Stanford University, 4Google Research
Conference: iclr 2022 (main track)
Decision: Poster
Title: Fairness in Representation for Multilingual NLP: Insights from Controlled Experiments on Conditional Language Modeling
Authors: Ada Wan
Affiliations: University of Zurich
Conference: iclr 2022 (main track)
Keywords: fairness;evaluation;multilingual NLP / multilinguality;representation learning for language data;statistical comparisons;Double Descent;conditional language modeling;data-centric approach;diversity in AI;morphology;Transformer;meta evaluation;visualization or interpretation of learned representations;character encoding;internationalization and localization;robustness;statistical science for NLP;science in the era of AI/DL (AIxScience);transdisciplinarity
Decision: Spotlight
Title: Representation-Agnostic Shape Fields
Authors: Xiaoyang Huang, Jiancheng Yang, Yanjun Wang, Ziyu Chen, Linguo Li, Teng Li, Bingbing Ni, Wenjun Zhang
Affiliations: School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University; Anhui University
Conference: iclr 2022 (main track)
Keywords: shape embedding;3D deep learning;shape classification and segmentation
Decision: Poster
Title: GeneDisco: A Benchmark for Experimental Design in Drug Discovery
Authors: Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab
Affiliations: Department of Computer Science, University of Oxford; GlaxoSmithKline, Artificial Intelligence & Machine Learning; MIT
Conference: iclr 2022 (main track)
Keywords: batch active learning;drug discovery;benchmark
Decision: Poster
Title: Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs
Authors: Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
Affiliations: Singapore Institute of Manufacturing Technology, A*STAR, Singapore; Institute of Marine Science and Technology, Shandong University, Qingdao, China; School of Computer Science and Engineering, Nanyang Technological University, Singapore
Conference: iclr 2022 (main track)
Keywords: Conditional Variational Autoencoder;Stochastic Integer Programming;Scenario Reduction
Decision: Poster
Title: Zero-Shot Self-Supervised Learning for MRI Reconstruction
Authors: Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Mehmet Akcakaya
Affiliations: Department of Electrical&Computer Engineering, University of Minnesota; Center for Magnetic Resonance Research, University of Minnesota
Conference: iclr 2022 (main track)
Keywords: Zero-shot learning;Self-supervised learning;MRI Reconstruction;Transfer learning;Physics-guided deep learning
Decision: Poster
Title: NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy
Authors: Yash Mehta, Colin White, Arber Zela, Arjun Krishnakumar, Guri Zabergja, Shakiba Moradian, Mahmoud Safari, Kaicheng Yu, Frank Hutter
Affiliations: University of Freiburg; University of Freiburg, Bosch Center for AI; Abacus.AI
Conference: iclr 2022 (main track)
Keywords: neural architecture search;AutoML
Decision: Poster
Title: Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting
Authors: Shi Zhan Liu, Hang Yu, Cong Liao, Jianguo Li, Weiyao Lin, Alex Liu ·
Affiliations: Shanghai Jiaotong University; Ant Group; Ant Group, Shanghai Jiaotong University; TU Wien, Austria
Conference: iclr 2022 (main track)
Keywords: sparse attention;pyramidal graph;Transformer;time series forecasting;long-range dependence;multiresolution
Decision: Oral
Title: KL Guided Domain Adaptation
Authors: A. Tuan Nguyen, Toan Tran, Yarin Gal, Philip Torr, Atilim Gunes Baydin
Affiliations: University of Oxford, Oxford, United Kingdom; VinAI Research, Hanoi, Vietnam
Conference: iclr 2022 (main track)
Keywords: domain adaptation;invariant representation
Decision: Poster
Title: Towards a Unified View of Parameter-Efficient Transfer Learning
Authors: Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig
Affiliations: UC San Diego; Carnegie Mellon University; University of Southern California
Conference: iclr 2022 (main track)
Keywords: parameter-efficient transfer learning;unified view;natural language processing
Decision: Spotlight
Title: W-CTC: a Connectionist Temporal Classification Loss with Wild Cards
Authors: Xingyu Cai, Jiahong Yuan, Yuchen Bian, Guangxu Xun, Jiaji Huang, Kenneth Church
Affiliations: Baidu Research, 1195 Bordeaux Dr, Sunnyvale, CA 94089, USA
Conference: iclr 2022 (main track)
Keywords: CTC;wild cards;dynamic programing;partial alignment
Decision: Poster
Title: Large-Scale Representation Learning on Graphs via Bootstrapping
Authors: Shantanu Thakoor, Corentin Tallec, Mohammad Gheshlaghi  Azar, Mehdi Azabou, Eva Dyer, Remi Munos, Petar Veličković, Michal Valko
Affiliations: Georgia Institute of Technology; DeepMind
Conference: iclr 2022 (main track)
Decision: Poster
Title: Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization
Authors: Quanyi Li, Zhenghao Peng, Bolei Zhou
Affiliations: University of California, Los Angeles; Centre for Perceptual and Interactive Intelligence; The Chinese University of Hong Kong
Conference: iclr 2022 (main track)
Keywords: Human in the Loop;Safe Reinforcement Learning;Autonomous Driving
Decision: Poster
Title: Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations
Authors: Anuroop Sriram, Abhishek Das, Brandon Wood, Siddharth Goyal, Larry Zitnick
Affiliations: Meta FAIR; National Energy Research Scientific Computing Center (NERSC)
Conference: iclr 2022 (main track)
Keywords: Graph Neural Networks;Atomic Simulations;Computational Chemistry
Decision: Poster
Title: Fast topological clustering with Wasserstein distance
Authors: Tananun Songdechakraiwut, Bryan Krause, Matthew Banks, Kirill Nourski, Barry Van Veen
Affiliations: Department of Anesthesiology, Department of Neuroscience, University of Wisconsin–Madison, USA; Department of Electrical and Computer Engineering, University of Wisconsin–Madison, USA; Department of Neurosurgery, Iowa Neuroscience Institute, University of Iowa, USA
Conference: iclr 2022 (main track)
Keywords: Topological data analysis;cluster analysis;persistent homology;Wasserstein distance;Wasserstein barycenter;brain networks;intracranial electrophysiology;consciousness
Decision: Poster
Title: An Experimental Design Perspective on Model-Based Reinforcement Learning
Authors: Viraj Mehta, Biswajit Paria, Jeff Schneider, Stefano Ermon, Willie Neiswanger
Affiliations: Computer Science Department, Stanford University, Stanford, CA, USA; Robotics Insitute & Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, USA
Conference: iclr 2022 (main track)
Keywords: reinforcement learning;acquisition function;information gain
Decision: Poster
Title: Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models
Authors: Fan Bao, Chongxuan Li, Jun Zhu, Bo Zhang
Affiliations: Dept. of Comp. Sci. & Tech., Institute for AI, Tsinghua-Huawei Joint Center for AI, BNRist Center, State Key Lab for Intell. Tech. & Sys., Tsinghua University, Beijing, China; Gaoling School of Artiﬁcial Intelligence, Renmin University of China, Beijing, China
Conference: iclr 2022 (main track)
Keywords: diffusion probabilistic models;generative models
Decision: Oral
Title: Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations
Authors: Aahlad Puli, Lily Zhang, Eric Oermann, Rajesh Ranganath
Affiliations: New York University
Conference: iclr 2022 (main track)
Keywords: spurious correlations;out of distribution generalization;ml for health;representation learning
Decision: Poster
Title: A Generalized Weighted Optimization Method for Computational Learning and Inversion
Authors: Kui Ren, Yunan Yang, Björn Engquist
Affiliations: Columbia University, New York, NY 10027, USA; ETH Z¨urich, Z¨urich, Switzerland; The University of Texas at Austin, Austin, TX 78712, USA
Conference: iclr 2022 (main track)
Keywords: weighted optimization;generalization error;feature regression;machine learning
Decision: Poster
Title: Online Ad Hoc Teamwork under Partial Observability
Authors: Pengjie Gu, Mengchen Zhao, Jianye HAO, Bo An
Affiliations: Noah’s Ark Lab, Huawei; College of Intelligence and Computing, Tianjin University; School of Computer Science and Engineering, Nanyang Technological University, Singapore
Conference: iclr 2022 (main track)
Keywords: coordination;reinforcement learning
Decision: Poster
Title: Unifying Likelihood-free Inference with Black-box Optimization and Beyond
Authors: Dinghuai Zhang, Jie Fu, Yoshua Bengio, Aaron Courville
Affiliations: Mila, University of Montreal; Mila, University of Montreal, CIFAR Fellow
Conference: iclr 2022 (main track)
Keywords: biological sequence design;black-box optimization;likelihood-free inference;Bayesian inference
Decision: Spotlight
Title: Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration
Authors: Cian Eastwood, Ian Mason, Chris Williams, Bernhard Schoelkopf
Affiliations: MPI for Intelligent Systems, Tübingen; School of Informatics, University of Edinburgh
Conference: iclr 2022 (main track)
Keywords: Transfer learning;dataset shift;unsupervised domain adaptation;source-free domain adaptation
Decision: Spotlight
Title: Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space
Authors: Steeven Janny, Fabien Baradel, Natalia Neverova, Madiha Nadri, Greg Mori, Christian Wolf
Affiliations: LIRIS, INSA Lyon, France; Naver Labs Europe, France; Simon Fraser Univ., Canada; LAGEPP, Univ. Lyon 1, France; Meta AI
Conference: iclr 2022 (main track)
Decision: Oral
Title: Map Induction: Compositional spatial submap learning for efficient exploration in novel environments
Authors: Sugandha Sharma, Aidan Curtis, Marta Kryven, Joshua B Tenenbaum, Ila Fiete
Affiliations: Massachusetts Institute of Technology
Conference: iclr 2022 (main track)
Keywords: Cognitive Science;Bayesian Framework;Program Induction;Spatial Navigation;Planning;Map Learning
Decision: Poster
Title: Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods
Authors: Wenqing Zheng, Edward Huang, Nikhil Rao, Sumeet Katariya, Zhangyang Wang, Karthik Subbian
Affiliations: Amazon.com
Conference: iclr 2022 (main track)
Keywords: Graph Neural Networks;Cold Start;Knowledge Distillation
Decision: Poster
Title: Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond
Authors: Jonathan Godwin, Michael Schaarschmidt, Alexander Gaunt, Alvaro Sanchez Gonzalez, Yulia Rubanova, Petar Veličković, James Kirkpatrick, Peter Battaglia
Affiliations: DeepMind, London
Conference: iclr 2022 (main track)
Keywords: Graph Neural Networks;GNNs;Deep Learning;Molecular Property Prediction
Decision: Poster
Title: Stein Latent Optimization for Generative Adversarial Networks
Authors: Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon
Conference: iclr 2022 (main track)
Keywords: Generative Adversarial Networks;Unsupervised Conditional GANs
Decision: Poster
Title: Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?
Authors: Yonggan Fu, Shunyao Zhang, Shang Wu, Cheng Wan, Yingyan Lin
Affiliations: Department of Electrical and Computer Engineering, Rice University
Conference: iclr 2022 (main track)
Keywords: Vision transformer;adversarial examples;robustness
Decision: Poster
Title: Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
Authors:  Thomas Pethick "3026 Puya Latafat "3026 Panagiotis Patrinos[2] "3026 Olivier Fercoq "3026 Volkan Cevher[1] 
Affiliations: Laboratory for Information and Inference Systems (LIONS), EPFL; Department of Electrical Engineering (ESAT-STADIUS), KU Leuven; Laboratoire Traitement et Communication d’Information, Télécom Paris, Institut Polytechnique de Paris; Not provided in the text
Conference: iclr 2022 (main track)
Keywords: Minimax;Nonconvex-Nonconcave;Variational inequilities;Saddle point problem;First-order methods;Limit cycles
Decision: Spotlight
Title: Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative
Authors: Lucio Dery, Paul Michel, Ameet Talwalkar, Graham Neubig
Affiliations: Carnegie Mellon University, Determined AI; Carnegie Mellon University; ENS PSL University
Conference: iclr 2022 (main track)
Keywords: pre-training;multitask learning;meta-learning;deeplearning;end-task aware training;NLP
Decision: Poster
Title: ES-ENAS: Blackbox Optimization over Hybrid Spaces via Combinatorial and Continuous Evolution
Conference: iclr 2022 (main track)
Keywords: ES;ENAS;hybrid;search;space;blackbox;combinatorial;optimization;reinforcement;learning;mujoco;policies;evolutionary;computation;neuroevolution;high;dimension;supernet;one-shot;nas;neural;architecture;search;efficient
Decision: Withdraw
Title: R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning
Authors: Shengyao Lu, Bang Liu, Keith G Mills, SHANGLING JUI, Di Niu
Affiliations: Huawei Kirin Solution; RALI & Mila, Université de Montréal, Canada CIFAR AI Chair; Department of Electrical and Computer Engineering, University of Alberta
Conference: iclr 2022 (main track)
Keywords: systematicity;graph reasoning
Decision: Spotlight
Title: ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity
Authors: Xinchi Qiu, Javier Fernandez-Marques, Pedro Porto Buarque de Gusmao, Yan Gao, Titouan Parcollet, Nicholas Lane
Affiliations: Department of Computer Science, University of Oxford; Department of Computer Science and Technology, University of Cambridge; Laboratoire Informatique d’Avignon, Avignon Université
Conference: iclr 2022 (main track)
Keywords: Federated Learning;sparse training
Decision: Poster
Title: ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind
Authors: Yuanfei Wang, Fangwei Zhong, Jing Xu, Yizhou Wang
Affiliations: Center on Frontiers of Computing Studies, School of Computer Science, Peking University; Center for Data Science, Peking University; School of Artiﬁcial Intelligence, Peking University
Conference: iclr 2022 (main track)
Keywords: Theory of Mind;Target-oriented Multi-Agent Cooperation;Multi-agent Communication
Decision: Poster
Title: A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model
Authors: Jianwen Xie, yaxuan zhu, Jun Li, Ping Li
Affiliations: Cognitive Computing Lab, Baidu Research, 10900 NE 8th St. Bellevue, WA 98004, USA
Conference: iclr 2022 (main track)
Keywords: Langevin dynamics;energy-based model;normalizing flow;cooperative learning;short-run MCMC
Decision: Poster
Title: Toward Efficient Low-Precision Training: Data Format Optimization and Hysteresis Quantization
Authors: SunWoo Lee, Jeongwoo Park, Dongsuk Jeon
Affiliations: Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea
Conference: iclr 2022 (main track)
Keywords: low-precision training;quantized training;logarithmic weight;data format optimization;hysteresis quantization
Decision: Poster
Title: Amortized Implicit Differentiation for Stochastic Bilevel Optimization
Authors: Michael Arbel, Julien Mairal
Affiliations: Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK, 38000 Grenoble, France.
Conference: iclr 2022 (main track)
Keywords: bilevel optimization;stochastic optimization
Decision: Poster
Title: Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework
Authors: Xu Ma, Can Qin, Haoxuan You, Haoxi Ran, Yun Fu
Affiliations: Columbia University, New York, NY, USA; Northeastern University, Boston, MA, USA
Conference: iclr 2022 (main track)
Keywords: point cloud representation;local relation;mlp
Decision: Poster
Title: GDA-AM: ON THE EFFECTIVENESS OF SOLVING MIN-IMAX OPTIMIZATION VIA ANDERSON MIXING
Authors: Huan He, Shifan Zhao, Yuanzhe Xi, Joyce Ho, Yousef Saad
Affiliations: Department of Computer Science, Emory University, Atlanta, GA 30329, USA; Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455, USA
Conference: iclr 2022 (main track)
Decision: Poster
Title: FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes
Authors: David W. Romero, Robert-Jan Bruintjes, Jakub Tomczak, Erik Bekkers, Mark Hoogendoorn, Jan Gemert
Affiliations: Vrije Universiteit Amsterdam; Delft University of Technology; University of Amsterdam
Conference: iclr 2022 (main track)
Keywords: Convolutional neural networks;learnable kernel size;continuous convolutional kernels;alias-free convolutional networks;implicit neural representations;resolution-agnostic representations;time series;sequential data;computer vision
Decision: Poster
Title: Practical Conditional Neural Process Via Tractable Dependent Predictions
Authors: Stratis Markou, James Requeima, Wessel Bruinsma, Anna Vaughan, Richard E Turner
Affiliations: University of Cambridge; University of Cambridge, Invenia Labs
Conference: iclr 2022 (main track)
Keywords: conditional neural processes;neural processes;meta-learning;convolutional conditional neural processes;Gaussian neural processes
Decision: Poster
Title: Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect
Authors: Yuqing Wang, Minshuo Chen, Tuo Zhao, Molei Tao
Affiliations: Georgia Institute of Technology
Conference: iclr 2022 (main track)
Keywords: large learning rate;gradient descent;matrix factorization;implicit regularization;convergence;balancing;alignment
Decision: Poster
Title: The Uncanny Similarity of Recurrence and Depth
Authors: Avi Schwarzschild, Arjun Gupta, Amin Ghiasi, Micah Goldblum, Tom Goldstein
Affiliations: Department of Robotics, University of Maryland, College Park, MD, USA; Department of Computer Science, University of Maryland, College Park, MD, USA; Department of Mathematics, University of Maryland, College Park, MD, USA
Conference: iclr 2022 (main track)
Keywords: Deep learning;recurrent networks;depth
Decision: Poster
Title: Value Gradient weighted Model-Based Reinforcement Learning
Authors: Claas Voelcker, Victor Liao, Animesh Garg, Amir-massoud Farahmand
Affiliations: Vector Institute, University of Waterloo; Vector Institute, University of Toronto, Nvidia; Vector Institute, University of Toronto
Conference: iclr 2022 (main track)
Keywords: model-based reinforcement learning;reinforcment learning;objective mismatch;value function;sensitivity
Decision: Spotlight
Title: GreaseLM: Graph REASoning Enhanced Language Models
Authors: Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher Manning, Jure Leskovec
Affiliations: Stanford University
Conference: iclr 2022 (main track)
Keywords: language models;commonsense;question answering;knowledge graphs;KG augmentation
Decision: Spotlight
Title: Explanations of Black-Box Models based on Directional Feature Interactions
Authors: Aria Masoomi, Davin Hill, Zhonghui Xu, Craig Hersh, Edwin Silverman, Peter Castaldi, Stratis Ioannidis, Jennifer Dy
Affiliations: Brigham and Women’s Hospital, Channing Division of Network Medicine, Boston, MA, USA; Northeastern University, Department of Electrical and Computer Engineering, Boston, MA, USA
Conference: iclr 2022 (main track)
Keywords: Explainability;Shapley values;Interpretability;Directional interaction;feature interaction
Decision: Spotlight
Title: Linking Emergent and Natural Languages via Corpus Transfer
Authors: Shunyu Yao, Mo Yu, Yang Zhang, Karthik Narasimhan, Joshua B Tenenbaum, Chuang Gan
Affiliations: MIT-IBM Watson AI Lab; Princeton University; Wechat AI; MIT
Conference: iclr 2022 (main track)
Keywords: Emergent Language;Emergent Communication;Transfer Learning
Decision: Spotlight
Title: MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC
Authors: Erik Nijkamp, Ruiqi Gao, Pavel Sountsov, Srinivas Vasudevan, Bo Pang, Song-Chun Zhu, Yingnian Wu
Affiliations: Department of Statistics, UCLA; Department of Statistics, UCLA; Beijing Institute for General Artificial Intelligence (BIGAI); Google Research; Department of Statistics, UCLA; Salesforce Research
Conference: iclr 2022 (main track)
Keywords: Generative models;energy-based models;MCMC
Decision: Poster
Title: Learning a subspace of policies for online adaptation in Reinforcement Learning
Authors: Jean-Baptiste Gaya, Laure Soulier, Ludovic Denoyer
Affiliations: Facebook AI Research; CNRS-ISIR, Sorbonne University, Paris, France; Ubisoft
Conference: iclr 2022 (main track)
Keywords: Deep Reinforcement Learning;Online adaptation
Decision: Poster
Title: Associated Learning: an Alternative to End-to-End Backpropagation that Works on CNN, RNN, and Transformer
Authors: Dennis Wu, Di-Nan Lin, Vincent Chen, Hung-Hsuan Chen
Affiliations: Institute of Information Science, Academia Sinica; Department of Computer Science, National Central University
Conference: iclr 2022 (main track)
Keywords: pipeline training;parallel training;backpropagation;associated learning
Decision: Poster
Title: Query Embedding on Hyper-Relational Knowledge Graphs
Authors: Dimitrios Alivanistos, Max Berrendorf, Michael Cochez, Mikhail Galkin
Affiliations: LMU Munich; Vrije Universiteit Amsterdam, Discovery Lab, Elsevier; Mila, McGill University
Conference: iclr 2022 (main track)
Keywords: Query embedding;Approximate Query Answering;Graph Neural Network;Hyper-relational Graph;Knowledge Graph
Decision: Poster