hunoutl/paperlists huggingface dataset:
Title: Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness
Authors: Simon Geisler, Johanna Sommer, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann
Affiliations: CISPA Helmholtz Center for Information Security; Department of Informatics & Munich Data Science Institute, Technical University of Munich
Conference: iclr 2022 (main track)
Keywords: Generalization;Neural Combinatorial Optimization;Adversarial Robustness
Decision: Poster
Title: Noisy Feature Mixup
Authors: Soon Hoe Lim, N. Benjamin Erichson, Francisco Utrera, Winnie Xu, Michael W Mahoney
Affiliations: Nordita, KTH and Stockholm University; ICSI and UC Berkeley; University of Pittsburgh and ICSI; University of Pittsburgh; University of Toronto
Conference: iclr 2022 (main track)
Keywords: Data augmentation;implicit regularization;mixup;noise injection;model robustness
Decision: Poster
Title: Joint Shapley values: a measure of joint feature importance
Authors: Chris Harris, Richard Pymar, Colin Rowat
Affiliations: Economics, Mathematics & Statistics, Birkbeck College University of London, UK; Raptor Financial Technologies, Tokyo, Japan; Economics, University of Birmingham, UK
Conference: iclr 2022 (main track)
Keywords: explainable AI;Shapley value;interaction index;cooperative game theory
Decision: Poster
Title: Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings
Authors: Jingchao Ni, Wei Cheng, Zhengzhang Chen, Takayoshi Asakura, Tomoya Soma, Sho Kato, Haifeng Chen
Affiliations: Renascience, Inc.; NEC Laboratories America; NEC Corporation
Conference: iclr 2022 (main track)
Keywords: Deep learning;represenation learning;generative model
Decision: Spotlight
Title: Towards Continual Knowledge Learning of Language Models
Authors: Joel Jang, Seonghyeon Ye, Sohee Yang, Joongbo Shin, Janghoon Han, GyeongHun kim, Stanley Jungkyu Choi, Minjoon Seo
Affiliations: KAIST AI; LG AI Research
Conference: iclr 2022 (main track)
Keywords: continual learning;knowledge acquisition;catastrophic forgetting;large language models;pretraining;natural language processing
Decision: Poster
Title: Mind the Gap: Domain Gap Control for Single Shot Domain Adaptation for Generative Adversarial Networks
Authors: Peihao Zhu, Rameen Abdal, John Femiani, Peter Wonka
Affiliations: Miami University; KAUST
Conference: iclr 2022 (main track)
Keywords: GAN;StyleGAN;Clip;Domain Adaptation;Style Transfer;Single Shot
Decision: Poster
Title: Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
Authors: Vincent Mai, Kaustubh Mani, Liam Paull
Affiliations: Robotics and Embodied AI Lab, Mila - Quebec Institute of Artificial Intelligence, Universit ´e de Montr ´eal, Quebec, Canada, ∗Canada CIFAR AI Chair; Robotics and Embodied AI Lab, Mila - Quebec Institute of Artificial Intelligence, Universit ´e de Montr ´eal, Quebec, Canada
Conference: iclr 2022 (main track)
Keywords: Deep reinforcement learning;uncertainty estimation;inverse-variance;heteroscedastic
Decision: Spotlight
Title: Long Expressive Memory for Sequence Modeling
Authors: T. Konstantin Rusch, Siddhartha Mishra, N. Benjamin Erichson, Michael W Mahoney
Affiliations: ETH Zürich; University of Pittsburgh; ICSI and UC Berkeley
Conference: iclr 2022 (main track)
Keywords: sequence modeling;long-term dependencies;multiscale ordinary differential equations;dynamical systems
Decision: Spotlight
Title: On the Limitations of Multimodal VAEs
Authors: Imant Daunhawer, Thomas Sutter, Kieran Chin-Cheong, Emanuele Palumbo, Julia E Vogt
Affiliations: Department of Computer Science, ETH Zurich
Conference: iclr 2022 (main track)
Keywords: multimodal learning;variational autoencoder;variational information bottleneck;information theory
Decision: Poster
Title: On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning
Authors: Guy Tennenholtz, Assaf Hallak, Gal Dalal, Shie Mannor, Gal Chechik, Uri Shalit
Affiliations: Nvidia Research, Technion; Technion; Nvidia Research
Conference: iclr 2022 (main track)
Keywords: imitation learning;reinforcement learning;expert data;hidden confounding;causal inference;covariate shift
Decision: Poster
Title: Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path
Authors: X.Y. Han, Vardan Papyan, David Donoho
Affiliations: Stanford University; Cornell University; University of Toronto
Conference: iclr 2022 (main track)
Keywords: neural collapse;deep learning theory;deep learning;inductive bias;equiangular tight frame;ETF;nearest class center;mean squared error loss;MSE loss;invariance;renormalization;gradient flow;dynamics;adversarial robustness
Decision: Oral
Title: ViDT: An Efficient and Effective Fully Transformer-based Object Detector
Authors: Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang
Affiliations: University of California at Merced; NAVER AI Lab; Google Research
Conference: iclr 2022 (main track)
Keywords: object detection;vision transformer;detection transformer
Decision: Poster
Title: Finite-Time Error Bounds for Distributed Linear Stochastic Approximation
Affiliations: Affiliation of the Author (Please provide actual affiliation(s) if available); Affiliation of the Second Author (Please provide actual affiliation(s) if available)
Conference: iclr 2022 (main track)
Keywords: Stochastic Approximation;Distributed Stochastic Approximation;Finite-time Analysis
Decision: Reject
Title: D-CODE: Discovering Closed-form ODEs from Observed Trajectories
Authors: Zhaozhi Qian, Krzysztof Kacprzyk, Mihaela van der Schaar
Affiliations: University of Cambridge; University of Cambridge, UCLA, The Alan Turing Institute
Conference: iclr 2022 (main track)
Keywords: Symbolic Regression;Ordinary Differential Equation
Decision: Spotlight
Title: Expressiveness and Approximation Properties of Graph Neural Networks
Authors: Floris Geerts, Juan L. Reutter
Affiliations: School of Engineering, Pontificia Universidad Católica de Chile, Chile & IMFD, Chile; Department of Computer Science, University of Antwerp, Belgium
Conference: iclr 2022 (main track)
Keywords: Graph Neural Networks;Colour Refinement;Weisfeiler-Leman;Separation Power;Universality
Decision: Oral
Title: Context-Aware Sparse Deep Coordination Graphs
Authors: Tonghan Wang, Liang Zeng, Weijun Dong, Qianlan Yang, Yang Yu, Chongjie Zhang
Affiliations: Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University; National Key Laboratory of Novel Software Technology, Nanjing University
Conference: iclr 2022 (main track)
Keywords: Multi-agent reinforcement learning;Sparse coordination graphs;Deep coordination graphs
Decision: Spotlight
Title: iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data
Authors: Marine Schimel, Ta-Chu Kao, Kristopher Jensen, Guillaume Hennequin
Affiliations: Gatsby Computational Neuroscience Unit, University College London, London, UK; Department of Engineering, University of Cambridge, Cambridge, UK
Conference: iclr 2022 (main track)
Keywords: neuroscience;latent variable models;RNN;VAE;motor control;control theory;dynamical systems
Decision: Oral
Title: Graph Neural Networks with Learnable Structural and Positional Representations
Authors: Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson
Affiliations: National University of Singapore; Mila, University of Montréal; Loyola Marymount University; Nanyang Technological University, Singapore
Conference: iclr 2022 (main track)
Keywords: graph neural networks;graph representation learning;transformers;positional encoding
Decision: Poster
Title: Differentiable Scaffolding Tree for Molecule Optimization
Authors: Tianfan Fu, Wenhao Gao, Cao Xiao, Jacob Yasonik, Connor Coley, Jimeng Sun
Affiliations: University of Illinois at Urbana-Champaign; Georgia Institute of Technology; Amplitude; Massachusetts Institute of Technology
Conference: iclr 2022 (main track)
Decision: Poster
Title: Fairness Guarantees under Demographic Shift
Authors: Stephen Giguere, Blossom Metevier, Bruno Silva, Yuriy Brun, Philip Thomas, Scott Niekum
Affiliations: Department of Computer Science, University of Texas at Austin; College of Information and Computer Sciences, University of Massachusetts
Conference: iclr 2022 (main track)
Keywords: Fairness and Bias in Artificial Intelligence;Machine Learning
Decision: Poster
Title: Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
Authors: Yongqiang Chen, Han Yang, Yonggang Zhang, MA KAILI, Tongliang Liu, Bo Han, James Cheng
Affiliations: Hong Kong Baptist University; The University of Sydney; The Chinese University of Hong Kong
Conference: iclr 2022 (main track)
Keywords: Graph Neural Networks;Adversarial Attacks;Node Classification
Decision: Poster
Title: A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion
Authors: Zhaoyang Lyu, Zhifeng Kong, Xudong XU, Liang Pan, Dahua Lin
Affiliations: CUHK-SenseTime Joint Lab, The Chinese University of Hong Kong and Shanghai AI Laboratory; S-Lab, Nanyang Technological University; University of California, San Diego; CUHK-SenseTime Joint Lab, The Chinese University of Hong Kong
Conference: iclr 2022 (main track)
Keywords: Point Cloud Completion;Denoising Diffusion Pobabilistic Model;Conditional Generation
Decision: Poster
Title: TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting
Authors: Yuzhou Chen, Ignacio Segovia-Dominguez, Baris Coskunuzer, Yulia Gel
Affiliations: Department of Electrical and Computer Engineering, Princeton University; Lawrence Berkeley National Laboratory; Department of Mathematical Sciences, University of Texas at Dallas; Jet Propulsion Laboratory, Caltech; Department of Mathematical Sciences, University of Texas at Dallas; National Science Foundation; Department of Mathematical Sciences, University of Texas at Dallas
Conference: iclr 2022 (main track)
Keywords: topological data analysis;multipersistence;graph convolutional networks;supragraph diffusion;multivariate time series forecasting
Decision: Spotlight
Title: Dropout Q-Functions for Doubly Efficient Reinforcement Learning
Authors: Takuya Hiraoka, Takahisa Imagawa, Taisei Hashimoto, Takashi Onishi, Yoshimasa Tsuruoka
Affiliations: National Institute of Advanced Industrial Science and Technology; The University of Tokyo; NEC Corporation
Conference: iclr 2022 (main track)
Keywords: Reinforcement learning
Decision: Poster
Title: Sample Selection with Uncertainty of Losses for Learning with Noisy Labels
Authors: Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Jun Yu, Gang Niu, Masashi Sugiyama
Affiliations: RIKEN AIP and The University of Tokyo; RIKEN AIP; Hong Kong Baptist University; The University of Melbourne; University of Science and Technology of China; TML Lab, The University of Sydney
Conference: iclr 2022 (main track)
Keywords: Learning with noisy labels;Sample selection;Uncertainty
Decision: Poster
Title: Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning
Authors: Yatao Bian, Yu Rong, Tingyang Xu, Jiaxiang Wu, Andreas Krause, Junzhou Huang
Affiliations: ETH Zürich; Tencent AI Lab
Conference: iclr 2022 (main track)
Keywords: Valuation problems;Shapley value;Model interpretation;Data valuation;Enegy-based learning;Attribution-based feature interpretation;Model valuation for ensembles;Feature attributions
Decision: Poster
Title: Language-biased image classification: evaluation based on semantic representations
Authors: Yoann Lemesle, Masataka Sawayama, Guillermo Valle-Perez, Maxime Adolphe, Hélène Sauzéon, Pierre-Yves Oudeyer
Affiliations: INRIA, France; Microsoft Research Montreal; INRIA, France; ENS Rennes, France; INRIA, France; Université de Bordeaux, France; INRIA, France
Conference: iclr 2022 (main track)
Keywords: interpretation of learned representations;language and visual processing;language-biased image classification;cognitive science
Decision: Poster
Title: Pre-training Molecular Graph Representation with 3D Geometry
Authors: Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang
Affiliations: University of Cambridge, MPI for Intelligent Systems, Tübingen; Mila, Université de Montréal; Mila, Université de Montréal, HEC Montréal, CIFAR AI Chair; National Research Council Canada; University of Cambridge
Conference: iclr 2022 (main track)
Keywords: Pre-training;SSL;Molecule;3D Geometry;2D representation
Decision: Poster
Title: Robust and Scalable SDE Learning: A Functional Perspective
Authors: Scott Cameron, Tyron Cameron, Arnu Pretorius, S Roberts
Affiliations: InstaDeep Ltd., South Africa; Oxford University, United Kingdom; Oxford University, InstaDeep Ltd., United Kingdom; Discovery Insure, South Africa
Conference: iclr 2022 (main track)
Keywords: SDE Learning;Parallelization;Importance Sampling
Decision: Poster
Title: Effective Model Sparsification by Scheduled Grow-and-Prune Methods
Authors: Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie
Affiliations: Princeton University; Northeastern University; Dalian University of Technology; DAMO Academy, Alibaba Group
Conference: iclr 2022 (main track)
Decision: Poster
Title: Bayesian Neural Network Priors Revisited
Authors: Vincent Fortuin, Adrià Garriga-Alonso, Sebastian Ober, Florian Wenzel, Gunnar Ratsch, Richard E Turner, Mark van der Wilk, Laurence Aitchison
Affiliations: Google AI Berlin, Germany; University of Bristol, United Kingdom; Imperial College London, United Kingdom; University of Cambridge, United Kingdom; ETH Zürich, Switzerland
Conference: iclr 2022 (main track)
Keywords: Bayesian deep learning;Bayesian neural networks;Priors
Decision: Poster
Title: VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
Authors: Adrien Bardes, Jean Ponce, Yann LeCun
Affiliations: Facebook AI Research; Inria, École normale supérieure, CNRS, PSL Research University; Courant Institute, New York University; Center for Data Science, New York University
Conference: iclr 2022 (main track)
Keywords: self-supervised learning;representation learning;computer vision
Decision: Poster
Title: Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias
Authors: Frederic Koehler, Viraj Mehta, Chenghui Zhou, Andrej Risteski
Affiliations: Robotics Institute, Carnegie Mellon University; Department of Computer Science, Stanford University; Machine Learning Department, Carnegie Mellon University
Conference: iclr 2022 (main track)
Keywords: variational autoencoders;encoder;optima;stability;low-dimensional manifold
Decision: Poster
Title: Image BERT Pre-training with Online Tokenizer
Authors: Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan Yuille, Tao Kong
Affiliations: UC Santa Cruz; Shanghai Jiao Tong University; Johns Hopkins University; ByteDance
Conference: iclr 2022 (main track)
Keywords: online tokenizer;masked image modeling;vision transformer
Decision: Poster
Title: Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks
Authors: Anne Harrington, Arturo Deza
Affiliations: Center for Brains, Minds and Machines, Massachusetts Institute of Technology
Conference: iclr 2022 (main track)
Keywords: Peripheral Computation;Adversarial Robustness;Perceptual Invariance;Metamerism;Texture;Psychophysics
Decision: Spotlight
Title: OntoProtein: Protein Pretraining With Gene Ontology Embedding
Authors: Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Siyuan Cheng, Haosen Hong, Shumin Deng, Qiang Zhang, Jiazhang Lian, Huajun Chen
Affiliations: College of Computer Science and Technology, Zhejiang University; School of Software Technology, Zhejiang University; Hangzhou Innovation Center, Zhejiang University; Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies
Conference: iclr 2022 (main track)
Keywords: pre-trained language model;knowledge graph;protein representation
Decision: Poster
Title: FP-DETR: Detection Transformer Advanced by Fully Pre-training
Authors: Wen Wang, Yang Cao, Jing Zhang, Dacheng Tao
Affiliations: University of Science and Technology of China; JD Explore Academy, China; The University of Sydney; Institute of Artiﬁcial Intelligence, Hefei Comprehensive National Science Center
Conference: iclr 2022 (main track)
Keywords: Object Detection;Detection Transformer;Pre-training;Visual Prompt
Decision: Poster
Title: Extending the WILDS Benchmark for Unsupervised Adaptation
Authors: Shiori Sagawa, Pang Wei Koh, Tony Lee, Irena Gao, Sang Michael Xie, Kendrick Shen, Ananya Kumar, Weihua Hu, Michihiro Yasunaga, Henrik Marklund, Sara Beery, Etienne David, Ian Stavness, Wei Guo, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Levine, Chelsea Finn, Percy Liang
Affiliations: University of Tokyo; Caltech; University of California, Berkeley; INRAE; Boston University; Stanford University; University of Saskatchewan
Conference: iclr 2022 (main track)
Keywords: distribution shifts;adaptation;unlabeled data
Decision: Oral
Title: Frame Averaging for Invariant and Equivariant Network Design
Authors: Omri Puny, Matan Atzmon, Edward Smith, Ishan Misra, Aditya Grover, Heli Ben-Hamu, Yaron Lipman
Affiliations: Facebook AI Research; Weizmann Institute of Science
Conference: iclr 2022 (main track)
Keywords: Invariant and equivariant neural network;expressive power
Decision: Oral
Title: Equivariant Transformers for Neural Network based Molecular Potentials
Authors: Philipp Thölke, Gianni De Fabritiis
Affiliations: Computational Science Laboratory, Pompeu Fabra University, PRBB, C/ Doctor Aiguader 88, 08003 Barcelona, Spain and Institute of Cognitive Science, Osnabrück University, Neuer Graben 29 / Schloss, 49074 Osnabrück, Germany; Computational Science Laboratory, Pompeu Fabra University, C/ Doctor Aiguader 88, 08003 Barcelona, Spain and ICREA, Passeig Lluis Companys 23, 08010 Barcelona, Spain and Acellera Labs, C/ Doctor Trueta 183, 08005 Barcelona, Spain
Conference: iclr 2022 (main track)
Keywords: Molecular Modeling;Quantum Chemistry;Attention;Transformers
Decision: Spotlight
Title: Learning to Annotate Part Segmentation with Gradient Matching
Authors: Yu Yang, Xiaotian Cheng, Hakan Bilen, Xiangyang Ji
Affiliations: Department of Automation, Tsinghua University, BNRist; School of Informatics, University of Edinburgh
Conference: iclr 2022 (main track)
Keywords: semi-supervised learning;part segmentation;semantic segmentation;generative models;gradient matching
Decision: Poster
Title: How Much Can CLIP Benefit Vision-and-Language Tasks?
Authors: Sheng Shen, Liunian Li, Hao Tan, Mohit Bansal, Anna Rohrbach, Kai-Wei Chang, Zhewei Yao, Kurt Keutzer
Affiliations: University of California, Los Angeles; University of California, Berkeley; University of North Carolina at Chapel Hill
Conference: iclr 2022 (main track)
Decision: Poster
Title: Generalized rectifier wavelet covariance models for texture synthesis
Authors: Antoine Brochard, Sixin Zhang, Stéphane Mallat
Affiliations: ENS, PSL University, Paris, France; Coll`ege de France, Paris, France; Flatiron Institute, New York, USA; Universit´e de Toulouse, INP, IRIT, Toulouse, France
Conference: iclr 2022 (main track)
Keywords: texture synthesis;generative models;wavelets
Decision: Poster
Title: Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm
Authors: Yangguang Li, Feng Liang, Lichen Zhao, Yufeng Cui, Wanli Ouyang, Jing Shao, fengwei yu, Junjie Yan
Affiliations: University of Sydney; The University of Texas at Austin; SenseTime Research
Conference: iclr 2022 (main track)
Decision: Poster
Title: Structured Object-Aware Physics Prediction for Video Modeling and Planning
Affiliations: Department of Computer Science, TU Darmstadt; Department of Physics and Astronomy, Heidelberg University
Conference: iclr 2020 (main track)
Keywords: self-supervised learning;probabilistic deep learning;structured models;video prediction;physics prediction;planning;variational auteoncoders;model-based reinforcement learning;VAEs;unsupervised;variational;graph neural networks;tractable probabilistic models;attend-infer-repeat;relational learning;AIR;sum-product networks;object-oriented;object-centric;object-aware;MCTS
Decision: Poster
Title: Kernel of CycleGAN as a principal homogeneous space
Affiliations: Radiology, Nuclear Medicine and Anatomy, Radboud University Medical Center; Radiology, Nuclear Medicine and Anatomy, Radboud University Medical Center, Department of Radiation Oncology, Netherlands Cancer Institute; Department of Mathematics, KTH – Royal Institute of Technology, Research and Physics, Elekta
Conference: iclr 2020 (main track)
Keywords: Generative models;CycleGAN
Decision: Poster
Title: Identity Crisis: Memorization and Generalization Under Extreme Overparameterization
Affiliations: Princeton University, Princeton, NJ 08544, USA; University of California, Berkeley, Berkeley, CA 94720, USA; Google Research, Brain Team, Mountain View, CA 94043, USA
Conference: iclr 2020 (main track)
Keywords: Generalization;Memorization;Understanding;Inductive Bias
Decision: Poster
Title: Gap-Aware Mitigation of Gradient Staleness
Affiliations: Department of Electrical Engineering, Technion - Israel Institute of Technology, Haifa, Israel; Department of Computer Science, Technion - Israel Institute of Technology, Haifa, Israel
Conference: iclr 2020 (main track)
Keywords: distributed;asynchronous;large scale;gradient staleness;staleness penalization;sgd;deep learning;neural networks;optimization
Decision: Poster
Title: Piecewise linear activations substantially shape the loss surfaces of neural networks
Affiliations: UBTECH Sydney AI Centre, School of Computer Science, Faculty of Engineering, The University of Sydney; University of Science and Technology of China; UBTECH Sydney AI Centre, School of Computer Science, Faculty of Engineering, The University of Sydney
Conference: iclr 2020 (main track)
Keywords: neural network;nonlinear activation;loss surface;spurious local minimum
Decision: Poster
Title: Weakly Supervised Clustering by Exploiting Unique Class Count
Affiliations: School of Computing, National University of Singapore, Singapore 117417; A*STAR Bioinformatics Institute, Singapore 138671; School of Computing, National University of Singapore, Singapore 117417; A*STAR Bioinformatics Institute, Singapore 138671; Image and Pervasive Access Lab (IPAL), CNRS UMI 2955, Singapore 138632; Singapore Eye Research Institute, Singapore 169856; School of Computing, National University of Singapore, Singapore 117417; A*STAR Genome Institute of Singapore, Singapore 138672
Conference: iclr 2020 (main track)
Keywords: weakly supervised clustering;weakly supervised learning;multiple instance learning
Decision: Poster
Title: Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds
Affiliations: NVIDIA, Vienna, Austria; Department of Computer Science, Technical University of Munich, Munich, Germany; NVIDIA, Bangkok, Thailand
Conference: iclr 2020 (main track)
Keywords: point clouds;spatio-temporal representations;Lagrangian data;temporal coherence;super-resolution;denoising
Decision: Spotlight
Title: Feature Map Transform Coding for Energy-Efficient CNN Inference
Authors: Brian Chmiel,Chaim Baskin, Ron Banner, Evgenii Zheltonozhskii, Yevgeny Yermolin, Alex Karbachevsky, Alex M. Bronstein and Avi Mendelson
Conference: iclr 2020 (main track)
Keywords: compression;efficient inference;quantization;memory bandwidth;entropy
Decision: Reject
Title: On Identifiability in Transformers
Affiliations: Departments of Electrical Engineering and Information Technology, ETH Zurich, Switzerland; Google Research, Zurich, Switzerland; Department of Computer Science, ETH Zurich, Switzerland
Conference: iclr 2020 (main track)
Keywords: Self-attention;interpretability;identifiability;BERT;Transformer;NLP;explanation;gradient attribution
Decision: Poster