hunoutl/paperlists huggingface dataset:
Title: Efficient Training of Low-Curvature Neural Networks
Authors: Suraj Srinivas, Kyle Matoba, Himabindu Lakkaraju, François Fleuret
Affiliations: Idiap Research Institute & EPFL; Harvard University; University of Geneva
Conference: nips 2022 (main track)
Keywords: Deep neural networks;curvature;spectral norm;Lipschitz constant;robustness
Decision: Poster
Title: Learning and Covering Sums of Independent Random Variables with Unbounded Support
Authors: Alkis Kalavasis, Konstantinos Stavropoulos, Emmanouil Zampetakis
Affiliations: The University of Texas at Austin; National Technical University of Athens; University of California, Berkeley
Conference: nips 2022 (main track)
Keywords: Distribution Learning;Sums of Independent Random Variables;Covering;Density Estimation
Decision: Highlighted
Title: Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing
Authors: Yonggan Fu, Yang Zhang, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Cheng-I Jeff Lai, Celine Lin
Affiliations: MIT-IBM Watson AI Lab; Georgia Institute of Technology; Rice University; MIT CSAIL
Conference: nips 2022 (main track)
Keywords: automated speech recognition;self-supervised learning
Decision: Poster
Title: A Unified Framework for Deep Symbolic Regression
Authors: Mikel Landajuela, Chak Shing Lee, Jiachen Yang, Ruben Glatt, Claudio P Santiago, Ignacio Aravena, Terrell Mundhenk, Garrett Mulcahy, Brenden K Petersen
Affiliations: Computational Engineering Division, Lawrence Livermore National Laboratory, Livermore, CA 94550
Conference: nips 2022 (main track)
Keywords: symbolic regression;reinforcement learning;combinatorial optimization
Decision: Poster
Title: M$^4$I: Multi-modal Models Membership Inference
Authors: Pingyi Hu, Zihan Wang, Ruoxi Sun, Hu Wang, Minhui Xue
Affiliations: University of Adelaide, Australia; CSIRO’s Data61, Australia
Conference: nips 2022 (main track)
Keywords: Membership inference attack;Data privacy leakage;Multimodality
Decision: Poster
Title: Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting
Authors: Yuzhou Chen, Yulia Gel, H. Vincent Poor
Affiliations: Department of Mathematical Sciences, University of Texas at Dallas, National Science Foundation; Department of Computer and Information Sciences, Temple University; Department of Electrical and Computer Engineering, Princeton University
Conference: nips 2022 (main track)
Keywords: Multivariate time series;Graph neural networks;Zigzag persistent homology
Decision: Poster
Title: OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology
Authors: Cheng Jiang, Asadur Chowdury, Xinhai Hou, Akhil Kondepudi, Christian Freudiger, Kyle Conway, Sandra Camelo-Piragua, Daniel Orringer, Honglak Lee, Todd Hollon
Affiliations: New York University; University of Michigan; Invenio Imaging
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Stimulated Raman Histology;Computer Vision;Convolutional Neural Network;Vision Transformer;Contrastive Learning;Representation Learning
Decision: Poster
Title: Maximum a posteriori natural scene reconstruction from retinal ganglion cells with deep denoiser priors
Authors: Eric Wu, Nora Brackbill, Alexander Sher, Alan Litke, Eero Simoncelli, E.J. Chichilnisky
Affiliations: Stanford University; Flatiron Institute, Simons Foundation, and New York University; University of California, Santa Cruz
Conference: nips 2022 (main track)
Keywords: retina;ganglion cell;natural scenes;image reconstruction;image prior;Plug and Play;encoding model;neural coding;neuroscience;neural decoding
Decision: Poster
Title: Prune and distill: similar reformatting of image information along rat visual cortex and deep neural networks
Authors: Paolo Muratore, Sina Tafazoli, Eugenio Piasini, Alessandro Laio, Davide Zoccolan
Affiliations: Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, United States of America; International School for Advanced Studies (SISSA), Trieste, Italy
Conference: nips 2022 (main track)
Keywords: convolutional neural networks;computational neuroscience;rat;visual cortex;ventral stream;intrinsic dimensionality;vision;representation analysis
Decision: Poster
Title: A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking
Authors: Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang
Affiliations: University of Texas at Austin; National University of Singapore; Rice University
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Graph Convolutional Networks;Scalability;Benchmark
Decision: Poster
Title: Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity
Authors: William de Vazelhes, Hualin Zhang, Huimin Wu, Xiaotong Yuan, Bin Gu
Affiliations: Nanjing University of Information Science & Technology; Mohamed bin Zayed University of Artificial Intelligence
Conference: nips 2022 (main track)
Keywords: Sparse learning;Hard-thresholding;Zeroth-order;Stochastic optimization
Decision: Poster
Title: Online Decision Mediation
Authors: Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar
Affiliations: Department of Applied Mathematics and Theoretical Physics, University of Cambridge; Department of Applied Mathematics and Theoretical Physics, University of Cambridge; UCLA; Alan Turing Institute
Conference: nips 2022 (main track)
Keywords: Decision System;Decision Mediation;Decision Support
Decision: Poster
Title: Towards Consistency in Adversarial Classification
Authors: Laurent Meunier, Raphael Ettedgui, Rafael Pinot, Yann Chevaleyre, Jamal Atif
Affiliations: École Polytechnique Fédérale de Lausanne (EPFL), Switzerland; Université Paris-Dauphine, PSL Research University, CNRS, LAMSADE, Paris, France
Conference: nips 2022 (main track)
Keywords: adversarial;consistency;calibration
Decision: Highlighted
Title: Dataset Distillation using Neural Feature Regression
Authors: Yongchao Zhou, Ehsan Nezhadarya, Jimmy Ba
Affiliations: Toronto AI Lab, LG Electronics Canada; Department of Computer Science, University of Toronto
Conference: nips 2022 (main track)
Keywords: Deep Learning;Dataset Distillation;Bi-Level Optimization;Meta Learning;Continual Learning;Privacy-Preserving
Decision: Poster
Title: RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks
Authors: Leo Kozachkov, Michaela Ennis, Jean-Jacques Slotine
Affiliations: Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology; Department of Mechanical Engineering, Massachusetts Institute of Technology; Google AI; Division of Medical Sciences, Harvard University
Conference: nips 2022 (main track)
Keywords: Neuroscience;Recurrent Neural Networks;Control Theory;Machine Learning;Dynamical Systems
Decision: Poster
Title: Amortized Projection Optimization for Sliced Wasserstein Generative Models
Authors: Khai Nguyen, Nhat Ho
Affiliations: Department of Statistics and Data Sciences, The University of Texas at Austin, Austin, TX 78712
Conference: nips 2022 (main track)
Keywords: Sliced Wasserstein;Optimal Transport;Amortized Optimization;Generative Models
Decision: Poster
Title: Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression
Authors: Liangzu Peng, Christian Kümmerle, Rene Vidal
Affiliations: Department of Computer Science, University of North Carolina at Charlotte; Mathematical Institute for Data Science, Johns Hopkins University
Conference: nips 2022 (main track)
Keywords: Convergence Rate Analysis;Non-Smooth Optimization;Robust Regression;Outliers;Iteratively Reweighted Least-Squares;Sparsity
Decision: Poster
Title: Unsupervised Point Cloud Completion and Segmentation by Generative Adversarial Autoencoding Network
Authors: Changfeng Ma, Yang Yang, Jie Guo, Fei Pan, Chongjun Wang, Yanwen Guo
Affiliations: Nanjing University
Conference: nips 2022 (main track)
Keywords: Point cloud completion;Point cloud segmentation;Unsupervised learning;GAN
Decision: Poster
Title: Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization
Authors: Weijia Zhang, Xuanhui Zhang, hanwen deng, Min-Ling Zhang
Affiliations: School of Information Management, Nanjing University, Nanjing 210023, China; School of Computer Science and Engineering, Southeast University, Nanjing 210096, China
Conference: nips 2022 (main track)
Keywords: multi-instance learning;variational autoencoder;causal representation
Decision: Poster
Title: Learning Substructure Invariance for Out-of-Distribution Molecular Representations
Authors: Nianzu Yang, Kaipeng Zeng, Qitian Wu, Xiaosong Jia, Junchi Yan
Affiliations: Department of Computer Science and Engineering, MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University; Department of Computer Science and Engineering, MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University; Shanghai AI Laboratory
Conference: nips 2022 (main track)
Keywords: Invariant Learning;Out-of-Distribution;Molecule Representation Learning
Decision: Poster
Title: Geodesic Self-Attention for 3D Point Clouds
Authors: Zhengyu Li, XUAN TANG, Zihao Xu, Xihao Wang, Hui Yu, Mingsong Chen, xian wei
Affiliations: FJIRSM, Chinese Academy of Sciences; East China Normal University; Technical University of Munich
Conference: nips 2022 (main track)
Keywords: Point Cloud;Geodesic;Attention;Transformer;Computer Vision.
Decision: Poster
Title: pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning
Authors: Daoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding
Affiliations: Alibaba Group
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Federated Learning;Personalized Federated Learning
Decision: Poster
Title: DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection
Authors: Xuanwen Huang, Yang Yang, Yang Wang, Chunping Wang, Zhisheng Zhang, Jiarong Xu, Lei Chen, Michalis Vazirgiannis
Affiliations: École Polytechnique; Zhejiang University; Finvolution Group; Fudan University
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Graph Anomaly Detection;Dynamic Graph;Financial Fraudsters Detection.
Decision: Poster
Title: DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
Authors: Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan LI, Jun Zhu
Affiliations: Dept. of Comp. Sci. & Tech., Institute for AI, BNRist Center, THBI Lab, Tsinghua University, Beijing, 100084 China; Gaoling School of Artificial Intelligence, Renmin University of China, Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China
Conference: nips 2022 (main track)
Keywords: diffusion probabilistic models;score-based generative models;fast sampling;ODE solver
Decision: Highlighted
Title: Hamiltonian Latent Operators for content and motion disentanglement in image sequences
Authors: Asif Khan, Amos Storkey
Affiliations: School of Informatics, University of Edinburgh
Conference: nips 2022 (main track)
Keywords: Deep generative models;Variational Autoencoder;Symplectic Geometry;Hamiltonian Dynamics;Latent Space Disentanglement
Decision: Poster
Title: Near-Optimal Collaborative Learning in Bandits
Authors: Clémence Réda, Sattar Vakili, Emilie Kaufmann
Affiliations: Université Paris Cité, Inserm, NeuroDiderot, F-75019 Paris, France; MediaTek Research, Cambourne Business Park, CB23 6DW, United Kingdom; Université de Lille, CNRS, Inria, Centrale Lille, UMR 9189 CRIStAL, F-59000 Lille, France
Conference: nips 2022 (main track)
Keywords: collaborative learning;multi-armed bandit;centralized learning;communication;elimination based-algorithm;data-driven sampling
Decision: Highlighted
Title: An $\alpha$-No-Regret Algorithm For Graphical Bilinear Bandits
Authors: Geovani Rizk, Igor Colin, Albert Thomas, Rida Laraki, Yann Chevaleyre
Affiliations: PSL - Université Paris Dauphine, CNRS, LAMSADE, Paris, France; Huawei Noah’s Ark Lab, Paris, France
Conference: nips 2022 (main track)
Decision: Poster
Title: BackdoorBench: A Comprehensive Benchmark of Backdoor Learning
Authors: Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Chao Shen
Affiliations: School of Data Science, Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong, Shenzhen; School of Cyber Science and Engineering, Xi’an Jiaotong University
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Backdoor Learning;Benchmark
Decision: Poster
Title: Explainable Reinforcement Learning via Model Transforms
Authors: Mira Finkelstein, Nitsan levy, Lucy Liu, Yoav Kolumbus, David Parkes, Jeffrey S Rosenschein, Sarah Keren
Affiliations: Technion - Israel Institute of Technology, Taub Faculty of Computer Science; Harvard University, School of Engineering and Applied Sciences; The Hebrew University of Jerusalem, Benin School of Computer Science and Engineering
Conference: nips 2022 (main track)
Keywords: Reinforcement Learning;Deep Reinforcement Learning;Explanability;XAI;Model Based Reasoning
Decision: Poster
Title: Few-Shot Continual Active Learning by a Robot
Authors: Ali Ayub, Carter Fendley
Affiliations: University of Waterloo, Waterloo, ON N2L3G1, Canada; Capital One, New York, NY 10017, USA
Conference: nips 2022 (main track)
Keywords: Continual Learning;Catastrophic Forgetting;Active Learning;Human-Robot Intearction
Decision: Poster
Title: Redeeming intrinsic rewards via constrained optimization
Authors: Eric Chen, Zhang-Wei Hong, Joni Pajarinen, Pulkit Agrawal
Affiliations: NSF AI Institute for AI and Fundamental Interactions (IAIFI); Aalto University; Improbable AI Lab, Massachusetts Institute of Technology; MIT-IBM Watson AI Lab, Aalto University
Conference: nips 2022 (main track)
Keywords: reinforcement learning;intrinsic reward;curiosity-driven exploration
Decision: Poster
Title: Domain Generalization by Learning and Removing Domain-specific Features
Authors: Yu Ding, Lei Wang, Bin Liang, Shuming Liang, Yang Wang, Fang Chen
Affiliations: University of Wollongong; University of Technology Sydney
Conference: nips 2022 (main track)
Keywords: Domain Generalization;Domain-invariant Features;Domain-specific Features;Transfer Learning
Decision: Poster
Title: Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions
Authors: Nikolaos Karalias, Joshua Robinson, Andreas Loukas, Stefanie Jegelka
Affiliations: EPFL; Prescient Design, Genentech, Roche; MIT CSAIL
Conference: nips 2022 (main track)
Keywords: deep learning;unsupervised learning;combinatorial optimization;algorithmic reasoning
Decision: Poster
Title: Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop
Authors: Weixia Zhang, Dingquan Li, Xiongkuo Min, Guangtao Zhai, Guodong Guo, Xiaokang Yang, Kede Ma
Affiliations: MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University; Department of Computer Science and Electrical Engineering, West Virginia University; Network Intelligence Research Department, Peng Cheng Laboratory; Department of Computer Science, City University of Hong Kong
Conference: nips 2022 (main track)
Decision: Poster
Title: CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior
Authors: Eldar D Abraham, Karel D&#x27;Oosterlinck, Amir Feder, Yair Gat, Atticus Geiger, Christopher Potts, Roi Reichart, Zhengxuan Wu
Affiliations: Stanford University; Technion – Israel Institute of Technology; Ghent University
Conference: nips 2022 (main track)
Keywords: Explainability;Causality;Benchmark;Causal Explanation
Decision: Poster
Title: Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset
Authors: Peter Henderson, Mark Krass, Lucia Zheng, Neel Guha, Christopher D Manning, Dan Jurafsky, Daniel Ho
Affiliations: Stanford University
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: data curation;legal data;content filtering;ai and law
Decision: Highlighted
Title: GREED: A Neural Framework for Learning Graph Distance Functions
Authors: Rishabh Ranjan, Siddharth Grover, Sourav Medya, Venkatesan Chakaravarthy, Yogish Sabharwal, Sayan Ranu
Affiliations: Department of Computer Science, University of Illinois, Chicago, USA; Department of Computer Science & Engineering and Yardi School of AI (Jointly), IIT Delhi, India; IBM Research, Delhi, India; Department of Computer Science & Engineering, IIT Delhi, India
Conference: nips 2022 (main track)
Keywords: edit distance;subgraph edit distance;learning graph distance;graph neural networks
Decision: Poster
Title: Reproducibility in Optimization: Theoretical Framework and Limits
Authors: Kwangjun Ahn, Prateek Jain, Ziwei Ji, Satyen Kale, Praneeth Netrapalli, Gil I Shamir
Affiliations: MIT EECS; Google Research, Brain Team; Google Research
Conference: nips 2022 (main track)
Keywords: reproducibility;first-order optimization;convex optimization;inexact gradient oracles
Decision: Highlighted
Title: SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training
Authors: Yangrui Chen, Cong Xie, Meng Ma, Juncheng Gu, Yanghua Peng, Haibin Lin, Chuan Wu, Yibo Zhu
Affiliations: The University of Hong Kong; ByteDance
Conference: nips 2022 (main track)
Keywords: data parallelism;communication optimization;staleness mitigation
Decision: Poster
Title: Reinforcement Learning with Neural Radiance Fields
Authors: Danny Driess, Ingmar Schubert, Pete Florence, Yunzhu Li, Marc Toussaint
Affiliations: TU Berlin; Google; MIT
Conference: nips 2022 (main track)
Keywords: RL;NeRF;Computer Vision;Representation Learning;Robotic Manipulation;Neural Implicit Representations
Decision: Poster
Title: Diffusion-LM Improves Controllable Text Generation
Authors: Xiang Li, John Thickstun, Ishaan Gulrajani, Percy Liang, Tatsunori Hashimoto
Affiliations: Stanford University; Stanford Univeristy
Conference: nips 2022 (main track)
Keywords: controllable text generation;controlled generation;infilling;language model;diffusion model
Decision: Highlighted
Title: Multi-objective Deep Data Generation with Correlated Property Control
Authors: Shiyu Wang, Xiaojie Guo, Xuanyang Lin, Bo Pan, Yuanqi Du, Yinkai Wang, Yanfang Ye, Ashley Petersen, Austin Leitgeb, Saleh Alkhalifa, Kevin Minbiole, William M. Wuest, Amarda Shehu, Liang Zhao
Affiliations: University of Notre Dame; Villanova University; Recursiv LLC; Tufts University; Emory University; Cornell University; George Mason University; IBM Thomas.J. Watson Research Center
Conference: nips 2022 (main track)
Keywords: deep generative models;controllable generation;correlated properties;disentangled learning;variational autoencoders
Decision: Poster
Title: Learning Infinite-Horizon Average-Reward Restless Multi-Action Bandits via Index Awareness
Authors: GUOJUN XIONG, Shufan Wang, Jian Li
Affiliations: SUNY-Binghamton University
Conference: nips 2022 (main track)
Keywords: Restless Bandits;Reinforcement Learning;Index Policy;Finite-time Analysis
Decision: Poster
Title: Learning Optical Flow from Continuous Spike Streams
Authors: Rui Zhao, Ruiqin Xiong, Jing Zhao, Zhaofei Yu, Xiaopeng Fan, Tiejun Huang
Affiliations: School of Computer Science and Technology, Harbin Institute of Technology; National Engineering Research Center of Visual Technology (NERCVT), Peking University; Institute of Digital Media, School of Computer Science, Peking University; Institute for Artificial Intelligence, Peking University; National Engineering Research Center of Visual Technology (NERCVT), Peking University; Institute of Digital Media, School of Computer Science, Peking University; National Computer Network Emergency Response Technical Team
Conference: nips 2022 (main track)
Keywords: Optical Flow;Neuromorphic Camera;Computer Vision
Decision: Poster
Title: Washing The Unwashable : On The (Im)possibility of Fairwashing Detection
Authors: Ali Shahin Shamsabadi, Mohammad Yaghini, Natalie Dullerud, Sierra Wyllie, Ulrich Aïvodji, Aisha Alaagib, Sébastien Gambs, Nicolas Papernot
Affiliations: Université du Québec à Montréal; The Alan Turing Institute, Vector Institute; ÉTS Montréal; University of Toronto, Vector Institute
Conference: nips 2022 (main track)
Decision: Poster
Title: Okapi: Generalising Better by Making Statistical Matches Match
Authors: Myles Bartlett, Sara Romiti, Viktoriia Sharmanska, Novi Quadrianto
Affiliations: Predictive Analytics Lab, University of Sussex; Predictive Analytics Lab, University of Sussex; Imperial College London; Predictive Analytics Lab, University of Sussex; BCAM Severo Ochoa Strategic Lab on Trustworthy Machine Learning; Monash University, Indonesia
Conference: nips 2022 (main track)
Keywords: Domain Generalisation;Semi-Supervised Learning;Statistical Matching
Decision: Poster
Title: The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift
Authors: Jingfeng Wu
Affiliations: The University of Hong Kong; Harvard University; University of California, Los Angeles; Johns Hopkins University
Conference: nips 2022 (main track)
Keywords: covariate shift;linear regression;risk bound;pretraining;finetuning
Decision: Poster
Title: 🏘️ ProcTHOR: Large-Scale Embodied AI Using Procedural Generation
Authors: Matt Deitke, Eli VanderBilt, Alvaro Herrasti, Luca Weihs, Kiana Ehsani, Jordi Salvador, Winson Han, Eric Kolve, Aniruddha Kembhavi, Roozbeh Mottaghi
Affiliations: PRIOR @ Allen Institute for AI; PRIOR @ Allen Institute for AI, University of Washington, Seattle; University of Washington, Seattle
Conference: nips 2022 (main track)
Keywords: Embodied AI;Large-Scale Environments;Procedural Generation
Decision: Poster
Title: Lower Bounds on Randomly Preconditioned Lasso via Robust Sparse Designs
Authors: Jonathan Kelner, Frederic Koehler, Raghu Meka, Dhruv Rohatgi
Affiliations: Stanford; MIT; UCLA
Conference: nips 2022 (main track)
Keywords: sparse linear regression;statistical/computational gaps;compressed sensing with adversarial erasure;preconditioning
Decision: Poster
Title: Unsupervised Learning of Group Invariant and Equivariant Representations
Authors: Robin Winter, Marco Bertolini, Tuan Le, Frank Noe, Djork-Arné Clevert
Affiliations: Bayer AG, Freie Universität Berlin; Freie Universität Berlin, Microsoft Research; Bayer AG
Conference: nips 2022 (main track)
Keywords: equivariance;invariance;representation learning;autoencoder;unsupervised learning
Decision: Poster
Title: Biological Learning of Irreducible Representations of Commuting Transformations
Authors: Alexander Genkin, David Lipshutz, Siavash Golkar, Tiberiu Tesileanu, Dmitri Chklovskii
Affiliations: Neuroscience Institute, NYU Langone Medical School; Center for Computational Neuroscience, Flatiron Institute
Conference: nips 2022 (main track)
Keywords: learning;transformation;biologically plausible
Decision: Poster
Title: Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training
Authors: Geng Yuan, Yanyu Li, Sheng Li, Zhenglun Kong, Sergey Tulyakov, Xulong Tang, Yanzhi Wang, Jian Ren
Affiliations: Snap Inc.; Snap Inc., Northeastern University; University of Pittsburgh; Northeastern University
Conference: nips 2022 (main track)
Keywords: Sparse training;model compression;efficient training
Decision: Poster
Title: Learning Robust Dynamics through Variational Sparse Gating
Authors: Arnav Kumar Jain, Shivakanth Sujit, Shruti Joshi, Vincent Michalski, Danijar Hafner, Samira Ebrahimi Kahou
Affiliations: 1Université de Montréal, 2Mila-Quebec AI Institute; 2Mila-Quebec AI Institute, 3École de technologie supérieure; 4University of Toronto, 5Google Brain; 2Mila-Quebec AI Institute, 3École de technologie supérieure, 6CIFAR
Conference: nips 2022 (main track)
Keywords: Deep Reinforcement Learning;Model Based Reinforcement Learning;World Models
Decision: Poster
Title: Learning dynamics of deep linear networks with multiple pathways
Authors: Jianghong Shi, Eric Shea-Brown, Michael Buice
Affiliations: Allen Institute MindScope Program, Seattle, WA 98109; Department of Applied Mathematics, University of Washington, Seattle, WA 98195
Conference: nips 2022 (main track)
Keywords: deep networks;linear networks;dynamical systems;theory;parallel pathways
Decision: Poster