hunoutl/paperlists huggingface dataset:
Title: Igeood: An Information Geometry Approach to Out-of-Distribution Detection
Authors: Eduardo Dadalto Câmara Gomes, Florence Alberge, Pierre Duhamel, Pablo Piantanida
Affiliations: International Laboratory on Learning Systems (ILLS), McGill ETS MILA CNRS Université Paris-Saclay CentraleSupélec, H3C 1K3 Quebec, Canada; Laboratoire des signaux et systèmes (L2S), Université Paris-Saclay CNRS CentraleSupélec, 91190, Gif-sur-Yvette, France
Conference: iclr 2022 (main track)
Keywords: out-of-distribution detection;anomaly detection;deep learning
Decision: Poster
Title: Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality
Authors: Yiping Lu, Haoxuan Chen, Jianfeng Lu, Lexing Ying, Jose Blanchet
Affiliations: Department of Computing and Mathematical Sciences, Caltech, Pasadena, CA 91125, USA; Institute for Computational & Mathematical Engineering, Stanford University, Stanford, CA 94305, USA; Mathematics Department, Duke University, Durham, NC 27708-0320; Department of Mathematics, Stanford University, Stanford, CA 94305, USA; Department of Management Science & Engineering, Stanford University, Stanford, CA 94305, USA
Conference: iclr 2022 (main track)
Keywords: Numerical PDE;non-parametric statistics;computational physics
Decision: Poster
Title: What’s Wrong with Deep Learning in Tree Search for Combinatorial Optimization
Authors: Maximilian Böther, Otto Kißig, Martin Taraz, Sarel Cohen, Karen Seidel, Tobias Friedrich
Affiliations: The Academic College of Tel Aviv-Yaffo, Israel; Hasso Plattner Institute, University of Potsdam; Department of Mathematics, University of Potsdam
Conference: iclr 2022 (main track)
Keywords: deep learning;combinatorial optimization;maximum independent set
Decision: Poster
Title: Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics
Authors: Sizhe Li, Zhiao Huang, Tao Du, Hao Su, Joshua B Tenenbaum, Chuang Gan
Affiliations: University of Rochester; MIT BCS, CBMM, CSAIL; MIT; UC San Diego; MIT-IBM Watson AI Lab
Conference: iclr 2022 (main track)
Keywords: differentiable physics;soft body manipulation
Decision: Spotlight
Title: Peek-a-Boo: What (More) is Disguised in a Randomly Weighted Neural Network, and How to Find It Efficiently
Authors: Xiaohan Chen, Jason Zhang, Zhangyang Wang
Affiliations: University of Texas at Austin; University of Texas at Austin, Carnegie Mellon University
Conference: iclr 2022 (main track)
Keywords: Sparse Neural Network;Lottery Ticket Hypothesis;Efficient Machine Leanring
Decision: Poster
Title: Learned Simulators for Turbulence
Authors: Kimberly Stachenfeld, Drummond Fielding, Dmitrii Kochkov, Miles Cranmer, Tobias Pfaff, Jonathan Godwin, Can Cui, Shirley Ho, Peter Battaglia, Alvaro Sanchez Gonzalez
Affiliations: Google Research, Cambridge, MA; DeepMind, London, UK; Princeton University, Princeton, NJ; Center for Computational Astrophysics, Flatiron Institute, New York, NY
Conference: iclr 2022 (main track)
Keywords: learned simulation;turbulence
Decision: Poster
Title: Efficient Sharpness-aware Minimization for Improved Training of Neural Networks
Authors: Jiawei Du, Hanshu Yan, Jiashi Feng, Joey T Zhou, Liangli Zhen, Rick Goh, Vincent Tan
Affiliations: Centre for Frontier AI Research (CFAR), A*STAR, Singapore; Institute of High Performance Computing (IHPC), A*STAR, Singapore; Department of Mathematics, National University of Singapore; Department of Electrical and Computer Engineering, National University of Singapore
Conference: iclr 2022 (main track)
Keywords: Efficient learning;gengeralization;training algorithm
Decision: Poster
Title: Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features
Authors: Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Soji Adeshina, Yangkun Wang, Tom Goldstein, David Wipf
Affiliations: Amazon; Shanghai Jiao Tong University; University of Maryland
Conference: iclr 2022 (main track)
Keywords: Graph Neural Network;Boosting;Node classification;Tabular Data
Decision: Spotlight
Title: AlphaZero-based Proof Cost Network to Aid Game Solving
Authors: Ti-Rong Wu, Chung-Chin Shih, Ting Han Wei, Meng Yu Tsai, Wei-Yuan Hsu, I-Chen Wu
Affiliations: Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan; Research Center for Information Technology Innovation, Academia Sinica, Taiwan; Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan; Department of Computing Science, University of Alberta, Edmonton, Canada
Conference: iclr 2022 (main track)
Keywords: Monte-Carlo Tree Search;Solving Games;AlphaZero;Deep Reinforcement Learning
Decision: Poster
Title: Efficient Active Search for Combinatorial Optimization Problems
Authors: André Hottung, Yeong Dae Kwon, Kevin Tierney
Affiliations: Samsung SDS, Korea; Bielefeld University, Germany
Conference: iclr 2022 (main track)
Keywords: heuristic search;combinatorial optimization;learning to optimize;reinforcement learning;traveling salesperson problem;vehicle routing problem;job shop scheduling problem
Decision: Poster
Title: FairCal: Fairness Calibration for Face Verification
Authors: Tiago Salvador, Stephanie Cairns, Vikram Voleti, Noah Marshall, Adam Oberman
Affiliations: McGill University; Université de Montréal, Mila; McGill University, Mila
Conference: iclr 2022 (main track)
Keywords: face verification;bias;fairness;clustering;calibration
Decision: Poster
Title: Granger causal inference on DAGs identifies genomic loci regulating transcription
Authors: Alexander Wu, Rohit Singh, Bonnie Berger
Affiliations: Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA 02139, USA; Department of Mathematics, MIT, Cambridge, MA 02139, USA; Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA 02139, USA
Conference: iclr 2022 (main track)
Keywords: Granger causality;causal inference;graph neural networks;gene regulation;single-cell genomics;chromatin accessibility;directed acyclic graphs;single-cell multimodal
Decision: Poster
Title: LoRA: Low-Rank Adaptation of Large Language Models
Authors: Edward Hu, yelong shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen
Affiliations: Carnegie Mellon University; Microsoft Corporation
Conference: iclr 2022 (main track)
Keywords: Transfer learning;Adaptation;Transformer;Fine-tuning;Low-rank;RoBERTa;DeBERTa;GPT-2;GPT-3
Decision: Poster
Title: Optimization inspired Multi-Branch Equilibrium Models
Authors: Mingjie Li, Yisen Wang, Xingyu Xie, Zhouchen Lin
Affiliations: Pazhou Lab, Guangzhou, 510330, China; Key Lab. of Machine Perception (MoE), School of Artificial Intelligence, Peking University; Institute for Artificial Intelligence, Peking University
Conference: iclr 2022 (main track)
Decision: Poster
Title: Unsupervised Disentanglement with Tensor Product Representations on the Torus
Authors: Michael Rotman, Amit Dekel, shir gur, Yaron Oz, Lior Wolf
Affiliations: School of Physics and Astronomy, Tel-Aviv University, Israel; School of Computer Science, Tel-Aviv University, Israel; Univrses, Sweden
Conference: iclr 2022 (main track)
Keywords: Variational Auto-Encoder;Disentanglement Learning
Decision: Poster
Title: Surreal-GAN:Semi-Supervised Representation Learning via GAN for uncovering heterogeneous disease-related imaging patterns
Authors: Zhijian Yang, Junhao Wen, Christos Davatzikos
Affiliations: Center for Biomedical Image Computing and Analytics, University of Pennsylvania and Graduate Group in Applied Mathematics and Computational Science, University of Pennsylvania; Center for Biomedical Image Computing and Analytics, University of Pennsylvania
Conference: iclr 2022 (main track)
Keywords: Representation Learning;Disease-related imaging patterns;Alzheimer's disease;MRI;GAN
Decision: Poster
Title: A Comparison of Hamming Errors of Representative Variable Selection Methods
Authors: Tracy Ke, Longlin Wang
Affiliations: Department of Statistics, Harvard University, Cambridge, MA 02138, USA
Conference: iclr 2022 (main track)
Keywords: Lasso;Hamming error;phase diagram;rare and weak signals;elastic net;SCAD;thresholded Lasso;forward selection;forward backward selection
Decision: Poster
Title: Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers
Authors: Ruihan Yang, Minghao Zhang, Nicklas Hansen, Huazhe Xu, Xiaolong Wang
Affiliations: UC San Diego; UC Berkeley; Tsinghua University
Conference: iclr 2022 (main track)
Keywords: Reinforcement Learning;Robotics;Locomotion Control;Multi-Modal Transformer
Decision: Spotlight
Title: Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory
Authors: Tianrong Chen, Guan-Horng Liu, Evangelos Theodorou
Affiliations: Georgia Institute of Technology, USA
Conference: iclr 2022 (main track)
Keywords: Schrödinger Bridge;score-based generative model;optimal transport;forward-backward stochastic differential equations;stochastic optimal control
Decision: Poster
Title: Autonomous Reinforcement Learning: Formalism and Benchmarking
Authors: Archit Sharma, Kelvin Xu, Nikhil Sardana, Abhishek Gupta, Karol Hausman, Sergey Levine, Chelsea Finn
Affiliations: Stanford University; University of California, Berkeley; MIT; Google Brain
Conference: iclr 2022 (main track)
Keywords: reinforcement learning;autonomous;reset-free reinforcement learning;continual reinforcement learning
Decision: Poster
Title: Neocortical cell type classification from electrophysiology recordings using deep neural networks
Affiliations: Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA 94720, USA; Department of Electrical Engineering and Computer Sciences, Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720, USA
Conference: iclr 2022 (main track)
Keywords: neuron type classification;convolutional neural network;electrophysiology
Decision: Desk Reject
Title: Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference
Authors: Hyunseo Koh, Dahyun Kim, Jung-Woo Ha, Jonghyun Choi
Affiliations: NAVER AI Lab.; Yonsei University; Upstage AI Research; GIST, South Korea
Conference: iclr 2022 (main track)
Keywords: online;continual learning;task-free continual learning;any-time inference
Decision: Poster
Title: Diverse Client Selection for Federated Learning via Submodular Maximization
Authors: Ravikumar Balakrishnan, Tian Li, Tianyi Zhou, Nageen Himayat, Virginia Smith, Jeff Bilmes
Affiliations: University of Washington; CMU; Intel Labs
Conference: iclr 2022 (main track)
Keywords: federated learning;submodularity;diversity
Decision: Poster
Title: Zero Pixel Directional Boundary by Vector Transform
Authors: Edoardo Mello Rella, Ajad Chhatkuli, Yun Liu, Ender Konukoglu, Luc Van Gool
Affiliations: Computer Vision Lab, ETH Zurich, Switzerland and VISICS, ESAT/PSI, KU Leuven, Belgium; Computer Vision Lab, ETH Zurich, Switzerland
Conference: iclr 2022 (main track)
Decision: Poster
Title: On Incorporating Inductive Biases into VAEs
Authors: Ning Miao, Emile Mathieu, Siddharth N, Yee Whye Teh, Tom Rainforth
Affiliations: University of Edinburgh; Department of Statistics, University of Oxford
Conference: iclr 2022 (main track)
Keywords: VAEs;Variational autoencoders;Variational auto-encoders;Representation learning;Inductive biases
Decision: Poster
Title: Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations
Authors: Sarath Sreedharan, Utkarsh Soni, Mudit Verma, Siddharth Srivastava, Subbarao Kambhampati
Affiliations: School of Computing & AI, Arizona State University
Conference: iclr 2022 (main track)
Keywords: Explanations;XAI;Post-hoc explanations
Decision: Poster
Title: Know Thyself: Transferable Visual Control Policies Through Robot-Awareness
Authors: Edward Hu, Kun Huang, Oleh Rybkin, Dinesh Jayaraman
Affiliations: GRASP Lab, University of Pennsylvania
Conference: iclr 2022 (main track)
Keywords: visual foresight;dynamics models;visuomotor control;video prediction;planning;transfer
Decision: Poster
Title: Self-Supervision Enhanced Feature Selection with Correlated Gates
Authors: Changhee Lee, Fergus Imrie, Mihaela van der Schaar
Affiliations: Chung-Ang University, Korea; UCLA, USA; University of Cambridge, UK, UCLA, USA, Alan Turing Institute, UK
Conference: iclr 2022 (main track)
Keywords: Feature Selection;Feature Importance;Self-Supervised Learning
Decision: Spotlight
Title: OBJECT DYNAMICS DISTILLATION FOR SCENE DECOMPOSITION AND REPRESENTATION
Authors: Qu Tang, Xiangyu Zhu, Zhen Lei, Zhaoxiang Zhang
Affiliations: School of Artificial Intelligence, University of Chinese Academy of Sciences; Institute of Automation, Chinese Academy of Sciences; Centre for Artificial Intelligence and Robotics, Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences
Conference: iclr 2022 (main track)
Decision: Poster
Title: DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR
Authors: Shilong Liu, Feng Li, Hao Zhang, Xiao Yang, Xianbiao Qi, Hang Su, Jun Zhu, Lei Zhang
Affiliations: International Digital Economy Academy (IDEA); Dept. of Comp. Sci. and Tech., BNRist Center, State Key Lab for Intell. Tech. & Sys., Institute for AI, Tsinghua-Bosch Joint Center for ML, Tsinghua University.
Conference: iclr 2022 (main track)
Keywords: Object detection;Transformer
Decision: Poster
Title: Self-ensemble Adversarial Training for Improved Robustness
Authors: Hongjun Wang, Yisen Wang
Affiliations: Key Lab. of Machine Perception (MoE), School of Artificial Intelligence, Peking University; Institute for Artificial Intelligence, Peking University
Conference: iclr 2022 (main track)
Keywords: Adversarial Example;Adversarial Training
Decision: Poster
Title: Divergence-aware Federated Self-Supervised Learning
Authors: Weiming Zhuang, Yonggang Wen, Shuai Zhang
Affiliations: NTU, Singapore; S-Lab, NTU, Singapore; SenseTime Research
Conference: iclr 2022 (main track)
Keywords: Federated Learning;Self-supervised Learning;Unsupervised representation learning
Decision: Poster
Title: Leveraging unlabeled data to predict out-of-distribution performance
Authors: Saurabh Garg, Sivaraman Balakrishnan, Zachary Lipton, Behnam Neyshabur, Hanie Sedghi
Affiliations: Carnegie Mellon University; Google Research, Blueshift team; Google Research, Brain team
Conference: iclr 2022 (main track)
Keywords: Distribution Shift;OOD error prediction;Deep Learning
Decision: Poster
Title: PF-GNN: Differentiable particle filtering based approximation of universal graph representations
Authors: Mohammed Haroon Dupty, Yanfei Dong, Wee Sun Lee
Affiliations: School of Computing, National University of Singapore; School of Computing, National University of Singapore & PayPal Innovation Lab
Conference: iclr 2022 (main track)
Keywords: Graph Neural Networks;Graph representation learning;Expressive GNN
Decision: Poster
Title: Neural Network Approximation based on Hausdorff distance of Tropical Zonotopes
Authors: Panagiotis Misiakos, Georgios Smyrnis, George Retsinas, Petros Maragos
Affiliations: University of Texas at Austin; National Technical University of Athens; ETH Zurich
Conference: iclr 2022 (main track)
Keywords: Tropical Geometry;Zonotopes;Hausdorff Approximation;Neural Network Compression
Decision: Poster
Title: Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach
Authors: Prashant Khanduri, Haibo Yang, Mingyi Hong, Jia Liu, Hoi To Wai, Sijia Liu
Affiliations: The Ohio State University; Michigan State University; University of Minnesota; CUHK
Conference: iclr 2022 (main track)
Keywords: distributed optimization;over-parameterized optimization;kernel learning
Decision: Poster
Title: Topological Graph Neural Networks
Authors: Max Horn, Edward De Brouwer, Michael Moor, Yves Moreau, Bastian Rieck, Karsten Borgwardt
Affiliations: Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland; SIB Swiss Institute of Bioinformatics, Switzerland; Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland; SIB Swiss Institute of Bioinformatics, Switzerland; Institute of AI for Health, Helmholtz Munich, 85764 Neuherberg, Germany; Technical University of Munich, 80333 Munich, Germany; ESAT-STADIUS, KU Leuven, 3001 Leuven, Belgium
Conference: iclr 2022 (main track)
Keywords: topology;persistent homology;gnn;graph neural networks;graph classification;node classification;filtrations;topological data analysis;tda
Decision: Poster
Title: Visual hyperacuity with moving sensor and recurrent neural computations
Authors: Alexander Rivkind, Or Ram, Eldad Assa, Michael Kreiserman, Ehud Ahissar
Affiliations: Dept. of Brain Sciences, Weizmann Institute, Rehovot, Israel
Conference: iclr 2022 (main track)
Keywords: visual system;convolutional neural networks;recurrent neural networks;active vision;active sensing;ocular drift
Decision: Poster
Title: Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification
Authors: Bing Su, Ji-Rong Wen
Affiliations: Beijing Key Laboratory of Big Data Management and Analysis Methods, Gaoling School of Artiﬁcial Intelligence, Renmin University of China, Beijing 100872, China
Conference: iclr 2022 (main track)
Keywords: Temporal Alignment;Supervised Representation Learning;Few-shot Action Recognition;Alignment Prediction;Sequence Classification
Decision: Poster
Title: Discrepancy-Based Active Learning for Domain Adaptation
Authors: Antoine De mathelin, François Deheeger, Mathilde MOUGEOT, Nicolas Vayatis
Affiliations: Centre Borelli, Universit ´e Paris-Saclay, CNRS, ENS Paris-Saclay; ENSIIE, Centre Borelli, Universit ´e Paris-Saclay, CNRS, ENS Paris-Saclay; Michelin, Centre Borelli, Universit ´e Paris-Saclay, CNRS, ENS Paris-Saclay
Conference: iclr 2022 (main track)
Keywords: active learning;domain adaptation;discrepancy;kmedoids;single batch;covariate shift
Decision: Poster
Title: IntSGD: Adaptive Floatless Compression of Stochastic Gradients
Authors: Konstantin Mishchenko, Bokun Wang, Dmitry Kovalev, Peter Richtarik
Affiliations: KAUST∗; CNRS, École Normale Supérieure, Inria; KAUST
Conference: iclr 2022 (main track)
Keywords: optimization;distributed optimization;compression;theory;parallel training;switchML
Decision: Spotlight
Title: Contrastive Clustering to Mine Pseudo Parallel Data for Unsupervised Translation
Authors: Xuan-Phi Nguyen, Hongyu Gong, Yun Tang, Changhan Wang, Philipp Koehn, Shafiq Joty
Affiliations: Nanyang Technological University; Meta AI; Johns Hopkins University
Conference: iclr 2022 (main track)
Keywords: machine translation;unsupervised machine translation;pseudo-parallel data;contrastive clustering;pretraining
Decision: Poster
Title: An Operator Theoretic View On Pruning Deep Neural Networks
Authors: William Redman, Maria Fonoberova, Ryan Mohr, Yannis Kevrekidis, Igor Mezic
Affiliations: AIMdyn Inc.; Johns Hopkins University; AIMdyn Inc., UC Santa Barbara
Conference: iclr 2022 (main track)
Keywords: deep neural network pruning;Koopman operator theory
Decision: Poster
Title: Vector-quantized Image Modeling with Improved VQGAN
Authors: Jiahui Yu, Xin Li, Jing Yu Koh, Han Zhang, Ruoming Pang, James Qin, Alexander Ku, Yuanzhong Xu, Jason Baldridge, Yonghui Wu
Affiliations: Google Research
Conference: iclr 2022 (main track)
Keywords: VQGAN;Vision Transformers;Vector-quantized Image Modeling
Decision: Poster
Title: Generative Principal Component Analysis
Authors: Zhaoqiang Liu, Jiulong Liu, Subhroshekhar Ghosh, Jun Han, Jonathan Scarlett
Affiliations: PCG, Tencent; National University of Singapore; Chinese Academy of Sciences
Conference: iclr 2022 (main track)
Keywords: Principal component analysis;generative models;sparse principal component analysis;projected power methods;optimal statistical rates
Decision: Poster
Title: Variational oracle guiding for reinforcement learning
Authors: Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
Affiliations: Microsoft Research Asia; Institute of Artiﬁcial Intelligence, Hefei Comprehensive National Science Center; University of Alberta; Okinawa Institute of Science and Technology
Conference: iclr 2022 (main track)
Keywords: variational Bayes;oracle guiding;reinforcement learning;decision making;probabilistic modeling;game;Mahjong
Decision: Poster
Title: COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks
Authors: Fan Wu, Linyi Li, Huan Zhang, Bhavya Kailkhura, Krishnaram Kenthapadi, DING ZHAO, Bo Li
Affiliations: University of Illinois at Urbana-Champaign; Carnegie Mellon University; Lawrence Livermore National Laboratory; Amazon AWS AI
Conference: iclr 2022 (main track)
Keywords: certified robustness;poisoning attacks;reinforcement learning
Decision: Poster
Title: Target-Side Input Augmentation for Sequence to Sequence Generation
Authors: Shufang Xie, Ang Lv, Yingce Xia, Lijun Wu, Tao Qin, Tie-Yan Liu, Rui Yan
Affiliations: Microsoft Research Asia; Gaoling School of Artiﬁcial Intelligence, Remin University of China
Conference: iclr 2022 (main track)
Keywords: Sequence Gerneration;Data Augmentation
Decision: Poster
Title: Declarative nets that are equilibrium models
Authors: Russell Tsuchida, Suk Yee Yong, Mohammad Ali Armin, Lars Petersson, Cheng Soon Ong
Affiliations: Data61, CSIRO, Canberra, Australia; Space & Astronomy, CSIRO, Epping, Australia; Machine Learning & Artificial Intelligence Future Science Platform
Conference: iclr 2022 (main track)
Keywords: deep equilibrium models;deep declarative networks;implicit layers;kernel methods;generalised linear models
Decision: Poster
Title: Learning to Complete Code with Sketches
Authors: Daya Guo, Alexey Svyatkovskiy, Jian Yin, Nan Duan, Marc Brockschmidt, Miltiadis Allamanis
Affiliations: School of Computer Science and Engineering, Sun Yat-sen University, China; Microsoft, Redmond, WA, USA; Microsoft Research, Cambridge, UK; Microsoft Research, Beijing, China
Conference: iclr 2022 (main track)
Keywords: sketch;generative model;ml4code
Decision: Poster
Title: $\beta$-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap
Authors: Pengzhou Wu, Kenji Fukumizu
Affiliations: Department of Statistical Science, The Graduate University for Advanced Studies & The Institute of Statistical Mathematics, Tachikawa, Tokyo
Conference: iclr 2022 (main track)
Keywords: VAE;variational autoencoder;balanced representation Learning;treatment effects;causal inference;identifiability;identification;CATE;ATE;weak overlap;limited overlap;Prognostic Model;Prognostic score
Decision: Poster
Title: FILM: Following Instructions in Language with Modular Methods
Authors: So Yeon Min, Devendra Singh Chaplot, Pradeep K Ravikumar, Yonatan Bisk, Ruslan Salakhutdinov
Affiliations: Facebook AI Research; Carnegie Mellon University
Conference: iclr 2022 (main track)
Keywords: Instruction Following;Visual Language Navigation;Embodied Instruction Following;VLN;ALFRED
Decision: Poster
Title: Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective
Authors: Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Michael Poli, Sangdoo Yun
Affiliations: NAVER AI Lab, NAVER Corp, Seoul, 13638, Republic of Korea
Conference: iclr 2022 (main track)
Keywords: shortcut learning;shortcut bias;loss geometry;simplicity bias;flat minima;generalization;wisconsin card sorting test
Decision: Poster
Title: Few-Shot Backdoor Attacks on Visual Object Tracking
Authors: Yiming Li, Haoxiang Zhong, Xingjun Ma, Yong Jiang, Shu-Tao Xia
Affiliations: Research Center of Artiﬁcial Intelligence, Peng Cheng Laboratory, China; School of Computer Science, Fudan University, China; Tsinghua Shenzhen International Graduate School, Tsinghua University, China
Conference: iclr 2022 (main track)
Keywords: Backdoor Attack;Visual Object Tracking;AI Security;Deep Learning
Decision: Poster