hunoutl/paperlists huggingface dataset:
Title: Structured Energy Network As a Loss
Authors: Jay Yoon Lee, Dhruvesh Patel, Purujit Goyal, Wenlong Zhao, Zhiyang Xu, Andrew McCallum
Affiliations: Manning College of Information & Computer Sciences, University of Massachusetts Amherst; Department of Computer Science, Virginia Tech; Graduate School of Data Science, Seoul National University
Conference: nips 2022 (main track)
Keywords: Structured Prediction;Structured Energy network;Energy-based models;Trainable Loss-function;Dynamic loss function;Noise-Contrastive Estimation
Decision: Poster
Title: On the SDEs and Scaling Rules for Adaptive Gradient Algorithms
Authors: Sadhika Malladi, Kaifeng Lyu, Abhishek Panigrahi, Sanjeev Arora
Affiliations: Department of Computer Science, Princeton University
Conference: nips 2022 (main track)
Keywords: stochastic differential equations;Adam;RMSprop;scaling rule
Decision: Poster
Title: Combinatorial Bandits with Linear Constraints: Beyond Knapsacks and Fairness
Authors: Qingsong Liu, Weihang Xu, Siwei Wang, Zhixuan Fang
Affiliations: IIIS, Tsinghua University and Shanghai Qi Zhi Institute; IIIS, Tsinghua University; Microsoft Research
Conference: nips 2022 (main track)
Decision: Poster
Title: ClimbQ: Class Imbalanced Quantization Enabling Robustness on Efficient Inferences
Authors: Ting-An Chen, De-Nian Yang, Ming-syan Chen
Affiliations: Graduate Institute of Electrical Engineering, National Taiwan University, Taiwan; Institute of Information Science, Academia Sinica, Taiwan; Research Center for Information Technology Innovation, Academia Sinica, Taiwan
Conference: nips 2022 (main track)
Keywords: Quantization;Efficient Inference;Neural Networks
Decision: Poster
Title: On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias
Authors: Itay Safran, Gal Vardi, Jason Lee
Affiliations: Princeton University; TTI-Chicago and Hebrew University
Conference: nips 2022 (main track)
Keywords: Deep Learning Theory;Non-convex Optimization;Gradient Flow
Decision: Poster
Title: Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
Authors: Huaxiu Yao, Caroline Choi, Bochuan Cao, Yoonho Lee, Pang Wei Koh, Chelsea Finn
Affiliations: Stanford University; Pennsylvania State University
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: temporal distribution shift;invariant learning;continual learning
Decision: Poster
Title: Meta-Learning with Self-Improving Momentum Target
Authors: Jihoon Tack, Jongjin Park, Hankook Lee, Jaeho Lee, Jinwoo Shin
Affiliations: Korea Advanced Institute of Science and Technology (KAIST); Pohang University of Science and Technology (POSTECH)
Conference: nips 2022 (main track)
Keywords: meta-learning;momentum network;knowledge distillation
Decision: Poster
Title: Environment Diversification with Multi-head Neural Network for Invariant Learning
Authors: Bo-Wei Huang, Keng-Te Liao, Chang-Sheng Kao, Shou-De Lin
Affiliations: Department of Computer Science and Information Engineering, National Taiwan University, Taiwan
Conference: nips 2022 (main track)
Keywords: Invariant Learning;Out-of-Distribution Generalization;Deep Learning
Decision: Poster
Title: Large-scale Optimization of Partial AUC in a Range of False Positive Rates
Authors: Yao Yao, Qihang Lin, Tianbao Yang
Affiliations: Department of Mathematics, The University of Iowa; Department of Computer Science & Engineering, Texas A&M University; Tipple College of Business, The University of Iowa
Conference: nips 2022 (main track)
Keywords: AUC maximization;non-convex optimization;first-order method;difference-of-convex program
Decision: Poster
Title: Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions
Authors: Shubham Gupta, Ambedkar Dukkipati
Affiliations: IBM Research Paris-Saclay, Orsay 91400, France.; Computer Science and Automation, Indian Institute of Science, Bangalore, India.
Conference: nips 2022 (main track)
Keywords: Spectral clustering;fairness;constrained clustering;consistency
Decision: Poster
Title: LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward
Authors: Daejin Jo, Sungwoong Kim, Daniel Nam, Taehwan Kwon, Seungeun Rho, Jongmin Kim, Donghoon Lee
Affiliations: Kakao Brain, Seongnam, South Korea
Conference: nips 2022 (main track)
Keywords: Reinforcement learning;Intrinsic reward;exploration
Decision: Poster
Title: ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization
Authors: Qishi Dong, Awais Muhammad, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li
Affiliations: Huawei Noah’s Ark Lab; Kyung-Hee University; Beijing Normal University
Conference: nips 2022 (main track)
Keywords: Out-of-Distribution Generalization;Model Zoo;Probabilistic Models
Decision: Poster
Title: Monte Carlo Augmented Actor-Critic for Sparse Reward Deep Reinforcement Learning from Suboptimal Demonstrations
Authors: Albert Wilcox, Ashwin Balakrishna, Jules Dedieu, Wyame Benslimane, Daniel Brown, Ken Goldberg
Affiliations: University of Utah; UC Berkeley
Conference: nips 2022 (main track)
Keywords: reinforcement learning;sparse reward reinforcement learning;reinforcement learning from demonstrations;online reinforcement learning
Decision: Poster
Title: TREC: Transient Redundancy Elimination-based Convolution
Authors: Jiawei Guan, Feng Zhang, Jiesong Liu, Hsin-Hsuan Sung, Ruofan Wu, Xiaoyong Du, Xipeng Shen
Affiliations: Computer Science Department, North Carolina State University; Key Laboratory of Data Engineering and Knowledge Engineering (MOE), and School of Information, Renmin University of China
Conference: nips 2022 (main track)
Keywords: Transient redundancy;convolution acceleration;back-propagation
Decision: Poster
Title: Off-Policy Evaluation with Policy-Dependent Optimization Response
Authors: Wenshuo Guo, Michael Jordan, Angela Zhou
Affiliations: Department of EECS, University of California, Berkeley; Department of Data Sciences and Operations, University of Southern California; Department of EECS and Department of Statistics, University of California, Berkeley
Conference: nips 2022 (main track)
Keywords: causal inference;off-policy evaluation;debiased data-driven optimization
Decision: Poster
Title: DART: Articulated Hand Model with Diverse Accessories and Rich Textures
Authors: Daiheng Gao, Yuliang Xiu, Kailin Li, Lixin Yang, Feng Wang, Peng Zhang, Bang Zhang, Cewu Lu, Ping Tan
Affiliations: Max Planck Institute for Intelligent Systems; Alibaba XR Lab; Shanghai Jiao Tong University; Simon Fraser University
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: hand morphable model;synthetic dataset;photorealistic rendering
Decision: Poster
Title: Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning
Authors: Zhecheng Yuan, Zhengrong Xue, Bo Yuan, Xueqian Wang, YI WU, Yang Gao, Huazhe Xu
Affiliations: Shanghai Qi Zhi Institute; Qianyuan Institute of Sciences; Shanghai Jiao Tong University; Tsinghua University
Conference: nips 2022 (main track)
Keywords: Visual RL;Generealization;Pre-trained Models
Decision: Poster
Title: When Does Differentially Private Learning Not Suffer in High Dimensions?
Authors: Xuechen Li, Daogao Liu, Tatsunori Hashimoto, Huseyin A. Inan, Janardhan Kulkarni, Yin-Tat Lee, Abhradeep Guha Thakurta
Affiliations: University of Washington; Google Research; Stanford University; University of Washington, Microsoft Research; Microsoft Research
Conference: nips 2022 (main track)
Keywords: Differential Privacy;fine-tuning;DP convex optimization;pretrained models
Decision: Poster
Title: TA-MoE: Topology-Aware Large Scale Mixture-of-Expert Training
Authors: Chang Chen, Min Li, Zhihua Wu, Dianhai Yu, Chao Yang
Affiliations: Center for Data Science, Peking University; National Engineering Laboratory for Big Data Analysis and Applications, Peking University; Institute for Computing and Digital Economy, Peking University; Baidu Inc.; School of Mathematics Sciences, Peking University
Conference: nips 2022 (main track)
Decision: Poster
Title: Pre-Trained Language Models for Interactive Decision-Making
Authors: Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen, De-An Huang, Ekin Akyürek, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba, Yuke Zhu
Affiliations: MIT; Nvidia, UT Austin; Nvidia; Google Brain; Nvidia, Caltech
Conference: nips 2022 (main track)
Keywords: Decision-Making;Language Models;Combinatorial Generalization
Decision: Highlighted
Title: Online Allocation and Learning in the Presence of Strategic Agents
Authors: Steven Yin, Shipra Agrawal, Assaf Zeevi
Affiliations: Department of Industrial Engineering and Operations Research, Columbia University, New York, NY 10027; Graduate School of Business, Columbia University, New York, NY 10027
Conference: nips 2022 (main track)
Keywords: Online Learning;Incentive Compatibility;Resource Allocation
Decision: Poster
Title: On the Adversarial Robustness of Mixture of Experts
Authors: Joan Puigcerver, Rodolphe Jenatton, Carlos Riquelme, Pranjal Awasthi, Srinadh Bhojanapalli
Affiliations: Google Research
Conference: nips 2022 (main track)
Keywords: mixture of experts;moe;adversarial;robustness
Decision: Poster
Title: CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks
Authors: Tejas Srinivasan, Ting-Yun Chang, Leticia Pinto Alva, Georgios Chochlakis, Mohammad Rostami, Jesse Thomason
Affiliations: University of Southern California, USC Information Sciences Institute; University of Southern California
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Vision-and-language;continual learning;multimodal;lifelong learning
Decision: Poster
Title: Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF
Authors: Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Florence d'Alché-Buc, Gaël Richard
Affiliations: LTCI, Télécom Paris, Institut Polytechnique de Paris; LTCI, Télécom Paris, Institut Polytechnique de Paris; Audio Analytic
Conference: nips 2022 (main track)
Keywords: audio interpretability;post-hoc explainability;non-negative matrix factorization;audio recognition
Decision: Poster
Title: Natural image synthesis for the retina with variational information bottleneck representation
Authors: Babak Rahmani, Demetri Psaltis, Christophe Moser
Affiliations: EPFL; N/A
Conference: nips 2022 (main track)
Keywords: Neuroscience;neural coding;generative model;variational autoencoders;neural latent models;information bottleneck
Decision: Poster
Title: Residual Multiplicative Filter Networks for Multiscale Reconstruction
Authors: Shayan Shekarforoush, David Lindell, David Fleet, Marcus Brubaker
Affiliations: University of Toronto, York University; University of Toronto, Vector Institute, Google Research; University of Toronto, Vector Institute
Conference: nips 2022 (main track)
Keywords: Coordinate Networks;Implicit Neural Representations;Multiscale Representation Learning;Coarse-to-fine Reconstruction;Cryo-EM
Decision: Poster
Title: Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference
Authors: Vo Nguyen Le Duy, Shogo Iwazaki, Ichiro Takeuchi
Affiliations: Nagoya University and RIKEN; Nagoya Institute of Technology; Nagoya Institute of Technology and RIKEN
Conference: nips 2022 (main track)
Keywords: Image Segmentation;Uncertainty Quantification;Selective Inference;Statistical Hypothesis Testing;p-value
Decision: Poster
Title: Accelerated Primal-Dual Gradient Method for Smooth and Convex-Concave Saddle-Point Problems with Bilinear Coupling
Authors: Dmitry Kovalev, Alexander Gasnikov, Peter Richtarik
Affiliations: King Abdullah University of Science and Technology, Thuwal, Saudi Arabia; Moscow Institute of Physics and Technology, Dolgoprudny, Russia; Institute for System Programming RAS, Research Center for Trusted Artificial Intelligence, Moscow, Russia; National Research University Higher School of Economics, Moscow, Russia
Conference: nips 2022 (main track)
Keywords: convex optimization;saddle-point problems;minimax optimization
Decision: Poster
Title: Learning Interface Conditions in Domain Decomposition Solvers
Authors: ali taghibakhshi
Affiliations: Mechanical Science and Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA; Scientific Computing Program, Memorial University of Newfoundland and Labrador, St. John’s, NL, Canada; Mathematics and Statistics, Memorial University of Newfoundland and Labrador, St. John’s, NL, Canada; Computer Science, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA
Conference: nips 2022 (main track)
Keywords: Domain Decomposition;Optimized Schwarz Methods;Graph Neural Networks;Unsupervised Learning
Decision: Poster
Title: A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits
Authors: Jiafan He, Tianhao Wang, Yifei Min, Quanquan Gu
Affiliations: Department of Statistics and Data Science, Yale University, New Haven, CT 06511; Department of Computer Science, University of California, Los Angeles, Los Angeles, CA 90095
Conference: nips 2022 (main track)
Keywords: linear bandits;federated learning
Decision: Poster
Title: Signal Propagation in Transformers: Theoretical Perspectives and the Role of Rank Collapse
Authors: Lorenzo Noci, Sotiris Anagnostidis, Luca Biggio, Antonio Orvieto, Sidak Pal Singh, Aurelien Lucchi
Affiliations: Dept of Computer Science, ETH Zürich; MPI for Intelligent Systems, Tübingen; Department of Mathematics and Computer Science, University of Basel; Dept of Computer Science, ETH Zürich; Dept of Computer Science, ETH Zürich; Robotics & ML, CSEM SA, Alpnach, Switzerland
Conference: nips 2022 (main track)
Keywords: Theory of Transformers;Transformers;Rank Collapse;Gradient Vanishing
Decision: Poster
Title: Fixed-Distance Hamiltonian Monte Carlo
Authors: Hadi Mohasel Afshar, Sally Cripps
Affiliations: CSIRO’s Data61, Eveleigh, NSW 2015, Australia; CSIRO’s Data61 & The University of Sydney, Eveleigh, NSW 2015, Australia
Conference: nips 2022 (main track)
Keywords: Markov Chain Monte Carlo;Sampling;Hamiltonian Monte Carlo;Reversible Jump;RJMCMC;No-U-Turn sampler
Decision: Poster
Title: Exponential Family Model-Based Reinforcement Learning via Score Matching
Authors: Gene Li, Junbo Li, Anmol Kabra, Nati Srebro, Zhaoran Wang, Zhuoran Yang
Affiliations: UC Santa Cruz; Northwestern University; Yale University; Toyota Technological Institute at Chicago
Conference: nips 2022 (main track)
Keywords: online reinforcement learning;exponential family;model-based RL
Decision: Highlighted
Title: Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation
Authors: Zekang Zhang, Guangyu Gao, Zhiyuan Fang, Jianbo Jiao, Yunchao Wei
Affiliations: Beijing Key Laboratory of Advanced Information Science and Network; WEI Lab, Institute of Information Science, Beijing Jiaotong University; School of Computer Science, University of Birmingham; School of Computer Science, Beijing Institute of Technology
Conference: nips 2022 (main track)
Keywords: Incremental Learning;semantic drift;catastrophic forgetting;regional objectness
Decision: Poster
Title: OPEN: Orthogonal Propagation with Ego-Network Modeling
Authors: Liang Yang, Lina Kang, Qiuliang Zhang, Mengzhe Li, bingxin niu, Dongxiao He, Zhen Wang, Chuan Wang, Xiaochun Cao, Yuanfang Guo
Affiliations: College of Intelligence and Computing, Tianjin University, Tianjin, China; School of Artiﬁcial Intelligence, Hebei University of Technology, Tianjin, China; State Key Laboratory of Information Security, IIE, CAS, Beijing, China; School of Computer Science and Engineering, Beihang University, Beijing, China; School of Cyber Science and Technology, Sun Yat-sen University, Shenzhen, China; School of Artiﬁcial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi’an, China
Conference: nips 2022 (main track)
Keywords: Graph Neural Network;ego-network;propagation scheme
Decision: Poster
Title: FedAvg with Fine Tuning: Local Updates Lead to Representation Learning
Authors: Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai
Affiliations: ECE Department, The University of Texas at Austin; ESE Department, University of Pennsylvania
Conference: nips 2022 (main track)
Keywords: Federated learning;Representation learning
Decision: Poster
Title: Embrace the Gap: VAEs Perform Independent Mechanism Analysis
Authors: Patrik Reizinger, Luigi Gresele, Jack Brady, Julius von Kügelgen, Dominik Zietlow, Bernhard Schölkopf, Georg Martius, Wieland Brendel, Michel Besserve
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany; Amazon Web Services, Tübingen, Germany; University of Tübingen, Germany
Conference: nips 2022 (main track)
Keywords: variational autoencoder;ELBO;representation learning;independent mechanism analysis;variational inference
Decision: Poster
Title: Fine-tuning language models to find agreement among humans with diverse preferences
Authors: Michiel Bakker, Martin Chadwick, Hannah Sheahan, Michael Tessler, Lucy Campbell-Gillingham, Jan Balaguer, Nat McAleese, Amelia Glaese, John Aslanides, Matt Botvinick, Christopher Summerfield
Affiliations: DeepMind, University College London; DeepMind, University of Oxford; DeepMind
Conference: nips 2022 (main track)
Keywords: large language models;LLMs;alignment;NLP;fine-tuning;reward modelling;preference modelling;human-centered AI
Decision: Poster
Title: On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation
Authors: Markus Hiller, Mehrtash Harandi, Tom Drummond
Affiliations: School of Computing and Information Systems, The University of Melbourne; Department of Electrical and Computer Systems Engineering, Monash University
Conference: nips 2022 (main track)
Keywords: Few-shot learning;meta-learning;condition number;preconditioning
Decision: Poster
Title: Is Integer Arithmetic Enough for Deep Learning Training?
Authors: Alireza Ghaffari, Marzieh S. Tahaei, Mohammadreza Tayaranian, Masoud Asgharian, Vahid Partovi Nia
Affiliations: Department of Mathematics and Statistics, McGill University; Huawei Noah’s Ark Lab, Montreal Research Center
Conference: nips 2022 (main track)
Keywords: Integer Training;Accelerated Training;Integer-only SGD;Integer back-propagation
Decision: Poster
Title: Adjoint-aided inference of Gaussian process driven differential equations
Authors: Paterne GAHUNGU, Christopher Lanyon, Mauricio A Álvarez, Engineer Bainomugisha, Michael T Smith, Richard Wilkinson
Affiliations: Department of Computer Science, Makerere University, Uganda; Department of Computer Science, University of Manchester, UK; Department of Computer Science, University of Sheffield, UK; School of Mathematical Sciences, University of Nottingham, UK; Quantum Leap Africa, African Institute for Mathematical Sciences, Rwanda
Conference: nips 2022 (main track)
Keywords: Uncertainty quantification;latent force;Gaussian process;differential equation;inverse problem
Decision: Poster
Title: GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images
Authors: Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, Sanja Fidler
Affiliations: NVIDIA; NVIDIA, University of Toronto, Vector Institute
Conference: nips 2022 (main track)
Keywords: 3D GAN;mesh;texture;topology
Decision: Poster
Title: Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks
Authors: Tao Sun, Dongsheng Li, Bao Wang
Affiliations: College of Computer, National University of Defense Technology, Changsha, Hunan 410073, China; Scientific Computing & Imaging Institute, University of Utah, USA
Conference: nips 2022 (main track)
Keywords: Temporal Difference Learning;Adaptivity;DNN Approximation;MDP;Finite-Time Analysis
Decision: Poster
Title: Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation
Authors: Botao Yu, Peiling Lu, Rui Wang, Wei Hu, Xu Tan, Wei Ye, Shikun Zhang, Tao Qin, Tie-Yan Liu
Conference: nips 2022 (main track)
Keywords: music composition;music generation;music structure;Transformer;attention;efficient Transformer;sparse attention
Decision: Poster
Title: Orthogonal Transformer: An Efficient Vision Transformer Backbone with Token Orthogonalization
Authors: Huaibo Huang, Xiaoqiang Zhou, Ran He
Affiliations: Center for Research on Intelligent Perception and Computing, CASIA, Beijing, China; National Laboratory of Pattern Recognition, CASIA, Beijing, China; University of Science and Technology of China, Hefei, China; Center for Research on Intelligent Perception and Computing, CASIA, Beijing, China; National Laboratory of Pattern Recognition, CASIA, Beijing, China; School of Artiﬁcial Intelligence, University of Chinese Academy of Sciences, Beijing, China; Center for Research on Intelligent Perception and Computing, CASIA, Beijing, China; National Laboratory of Pattern Recognition, CASIA, Beijing, China
Conference: nips 2022 (main track)
Keywords: Vision Transformer;Efficient Self-attention;Orthogonality
Decision: Poster
Title: Enhancing Safe Exploration Using Safety State Augmentation
Authors: Aivar Sootla, Alexander Cowen-Rivers, Jun Wang, Haitham Bou Ammar
Affiliations: Huawei R&D; University College London; Technische Universit ¨at Darmstadt; Byju’s Lab
Conference: nips 2022 (main track)
Keywords: safe reinforcement learning;safety during training
Decision: Poster
Title: Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL
Authors: Fengzhuo Zhang, Boyi Liu, Kaixin Wang, Vincent Tan, Zhuoran Yang, Zhaoran Wang
Affiliations: National University of Singapore; Northwestern University; Yale University
Conference: nips 2022 (main track)
Keywords: Multi-Agent Reinforcement Learning;Transformer;generalization
Decision: Poster
Title: GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization
Authors: Xuhai Xu, Han Zhang, Yasaman Sefidgar, Yiyi Ren, Xin Liu, Woosuk Seo, Jennifer Brown, Kevin Kuehn, Mike Merrill, Paula Nurius, Shwetak Patel, Tim Althoff, Margaret Morris, Eve Riskin, Jennifer Mankoff, Anind Dey
Affiliations: University of Washington, Seattle, USA
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Longitudinal time-series;mobile sensing;human behavior modeling;domain generalization
Decision: Poster
Title: Recurrent Video Restoration Transformer with Guided Deformable Attention
Authors: Jingyun Liang, Yuchen Fan, Xiaoyu Xiang, Rakesh Ranjan, Eddy Ilg, Simon Green, Jiezhang Cao, Kai Zhang, Radu Timofte, Luc V Gool
Affiliations: Computer Vision Lab, ETH Zurich, Switzerland; Meta Inc.
Conference: nips 2022 (main track)
Keywords: video restoration;video super-resolution;video deblurring;video denoising;video alignment
Decision: Poster
Title: Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks
Authors: Rodrigo Veiga, Ludovic Stephan, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
Affiliations: SPOC, EPFL, Lausanne; IdePHICS, EPFL, Lausanne
Conference: nips 2022 (main track)
Keywords: stochastic gradient descent;two-layer neural networks;overparametrization;gaussian inputs;statistical physics
Decision: Poster
Title: A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs
Authors: Songming Liu, Hao Zhongkai, Chengyang Ying, Hang Su, Jun Zhu, Ze Cheng
Affiliations: Bosch Center for Artificial Intelligence; Dept. of Comp. Sci. and Tech., Institute for AI, THBI Lab, BNRist Center, Tsinghua-Bosch Joint ML Center, Tsinghua University; Peng Cheng Laboratory; Pazhou Laboratory (Huangpu), Guangzhou, China; Dept. of Comp. Sci. and Tech., Institute for AI, THBI Lab, BNRist Center, Tsinghua-Bosch Joint ML Center, Tsinghua University
Conference: nips 2022 (main track)
Keywords: PDE;neural network;physics
Decision: Poster