hunoutl/paperlists huggingface dataset:
Title: Generalized Weighted Path Consistency for Mastering Atari Games
Authors: Dengwei Zhao, Shikui Tu, Lei Xu
Affiliations: Shanghai Jiao Tong University; Shanghai Jiao Tong University, Guangdong Institute of Intelligence Science and Technology
Conference: nips 2023 (main track)
Keywords: Monte Carlo Tree Search;Reinforcement learning;Path consistency.
Decision: Poster
Title: Accelerated Zeroth-order Method for Non-Smooth Stochastic Convex Optimization Problem with Infinite Variance
Authors: Nikita Kornilov, Ohad Shamir, Aleksandr Lobanov, Darina Dvinskikh, Alexander Gasnikov, Innokentiy Shibaev, Eduard Gorbunov, Samuel Horváth
Affiliations: MIPT, ISP RAS; HSE University, ISP RAS; Weizmann Institute of Science; MBZUAI; MIPT, IITP RAS; MIPT, SkolTech; MIPT, ISP RAS, SkolTech
Conference: nips 2023 (main track)
Keywords: stochastic optimization;gradient-free optimization;zero-order oracle;gradient clipping;infinite variance
Decision: Poster
Title: Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization
Authors: Ruichen Jiang, Aryan Mokhtari
Affiliations: ECE Department, The University of Texas at Austin
Conference: nips 2023 (main track)
Keywords: convex optimization;quasi-Newton methods;Monteiro-Svaiter acceleration;Nesterov's accelerated gradient;online learning
Decision: Spotlight
Title: Transformer as a hippocampal memory consolidation model based on NMDAR-inspired nonlinearity
Authors: Dong Kyum Kim, Jea Kwon, Meeyoung Cha, C. Lee
Affiliations: IBS Data Science Group; KAIST School of Computing; IBS Center for Cognition and Sociality
Conference: nips 2023 (main track)
Keywords: Transformer;NMDA;long-term memory;reference memory;memory consolidation
Decision: Poster
Title: Exploiting Correlated Auxiliary Feedback in Parameterized Bandits
Authors: Arun Verma, Zhongxiang Dai, Zhongxiang Dai, YAO SHU, Bryan Kian Hsiang Low
Affiliations: Department of Computer Science, National University of Singapore, Republic of Singapore
Conference: nips 2023 (main track)
Keywords: Parameterized Bandits;Auxiliary Feedback;Control Variate;Regret Minimization
Decision: Poster
Title: Suggesting Variable Order for Cylindrical Algebraic Decomposition via Reinforcement Learning
Authors: Fuqi Jia, Yuhang Dong, Minghao Liu, Pei Huang, Feifei Ma, Jian Zhang
Affiliations: Laboratory of Parallel Software and Computational Science, Institute of Software, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China; Stanford University, Stanford, USA
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Graph Neural Network;Cylindrical Algebraic Decomposition.
Decision: Poster
Title: Imitation Learning from Imperfection: Theoretical Justifications and Algorithms
Authors: Ziniu Li, Tian Xu, Zeyu Qin, Yang Yu, Zhi-Quan Luo
Affiliations: Hong Kong University of Science and Technology; National Key Laboratory for Novel Software Technology, Nanjing University; Polixir.ai; The Chinese University of Hong Kong, Shenzhen; Shenzhen Research Institute of Big Data
Conference: nips 2023 (main track)
Keywords: imitation learning;distribution shift;policy optimization;data selection
Decision: Spotlight
Title: Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity
Authors: Zhanpeng Zhou, Yongyi Yang, Xiaojiang Yang, Junchi Yan, Wei Hu
Affiliations: Dept. of Electrical Engineering & Computer Science, University of Michigan; Dept. of Computer Science and Engineering & MoE Key Lab of AI, Shanghai Jiao Tong University
Conference: nips 2023 (main track)
Keywords: Linear Mode Connectivity;Permutation Invariance;Optimization Landscape;Science of Deep Learning
Decision: Poster
Title: PIXIU: A Comprehensive Benchmark, Instruction Dataset and Large Language Model for Finance
Authors: Qianqian Xie, Weiguang Han, Xiao Zhang, Yanzhao Lai, Min Peng, Alejandro Lopez-Lira, Jimin Huang
Affiliations: School of Computer Science, Wuhan University, Wuhan, Hubei, China; Sun Yat-Sen University, Shenzhen, Guangdong, China; School of Economics and Management, Southwest Jiaotong University, Chengdu, Sichuan, China; ChanceFocus AMC., Shanghai, China; University of Florida
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Financial Natural Language Processing;Large Language Models;Fine-tuning;Benchmarking
Decision: Poster
Title: Faster Margin Maximization Rates for Generic Optimization Methods
Authors: Guanghui Wang, Zihao Hu, Vidya Muthukumar, Jacob Abernethy
Affiliations: School of Industrial and Systems Engineering, Georgia Institute of Technology; College of Computing, Georgia Institute of Technology; School of Electrical and Computer Engineering, Georgia Institute of Technology; Google Research, Atalanta
Conference: nips 2023 (main track)
Keywords: Implicit bias;margin maximization;zero-sum game;online learning
Decision: Spotlight
Title: A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing
Authors: Junren Chen, Jonathan Scarlett, Michael Ng, Zhaoqiang Liu
Affiliations: University of Hong Kong; Hong Kong Baptist University; National University of Singapore; UESTC
Conference: nips 2023 (main track)
Keywords: Compressed sensing;generative models;nonlinearity;uniform recovery
Decision: Poster
Title: SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems
Authors: Christopher Yeh, Victor Li, Rajeev Datta, Julio Arroyo, Nicolas Christianson, Chi Zhang, Yize Chen, Mohammad Mehdi Hosseini, Azarang Golmohammadi, Yuanyuan Shi, Yisong Yue, Adam Wierman
Affiliations: University of California, San Diego; Hong Kong University of Science and Technology; Beyond Limits; California Institute of Technology
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: reinforcement learning;sustainability;energy systems;multi-agent;distribution shift
Decision: Poster
Title: ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning
Authors: Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Dapeng Liu, Jie Jiang, Mingsheng Long
Affiliations: Tencent Inc, China; School of Software, BNRist, Tsinghua University, China
Conference: nips 2023 (main track)
Keywords: Auxiliary-Task Learning;Negative Transfer
Decision: Poster
Title: Extremal Domain Translation with Neural Optimal Transport
Authors: Milena Gazdieva, Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev
Affiliations: Skolkovo Institute of Science and Technology, Moscow, Russia; Skolkovo Institute of Science and Technology, Artificial Intelligence Research Institute, Moscow, Russia
Conference: nips 2023 (main track)
Keywords: optimal transport;partial optimal transport;neural networks;domain translation
Decision: Poster
Title: Data-Driven Network Neuroscience: On Data Collection and Benchmark
Authors: Jiaxing Xu, Yunhan Yang, David Huang, Sophi Shilpa Gururajapathy, Yiping Ke, Miao Qiao, Alan Wang, Haribalan Kumar, Josh McGeown, Eryn Kwon
Affiliations: General Electric Healthcare Magnetic Resonance, Australia & New Zealand; M¯atai Medical Research Institute, Tair ¯awhiti-Gisborne, New Zealand; School of Computer Science and Engineering, Nanyang Technological University, Singapore; Auckland Bioengineering Institute, The University of Auckland, New Zealand; School of Computer Science, The University of Auckland, New Zealand
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Network Neuroscience;Graph Analysis;Brain Network Datasets;Brain Network Analysis;Graph Classification
Decision: Poster
Title: JourneyDB: A Benchmark for Generative Image Understanding
Authors: Keqiang Sun, Junting Pan, Yuying Ge, Hao Li, Haodong Duan, Xiaoshi Wu, Renrui Zhang, Aojun Zhou, Zipeng Qin, Yi Wang, Jifeng Dai, Yu Qiao, Limin Wang, Hongsheng Li
Affiliations: Multimedia Laboratory, The Chinese University of Hong Kong; Multimedia Laboratory, The Chinese University of Hong Kong; Shanghai Artificial Intelligence Laboratory; Centre for Perceptual and Interactive Intelligence; The University of Hong Kong; Multimedia Laboratory, The Chinese University of Hong Kong; Shanghai Artificial Intelligence Laboratory; Shanghai Artificial Intelligence Laboratory; Centre for Perceptual and Interactive Intelligence; Shanghai Artificial Intelligence Laboratory
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Midjourney;Dataset;Generative Image Understanding
Decision: Poster
Title: SpokenWOZ: A Large-Scale Speech-Text Benchmark for Spoken Task-Oriented Dialogue Agents
Authors: Shuzheng Si, Wentao Ma, Haoyu Gao, Yuchuan Wu, Ting-En Lin, Yinpei Dai, Hangyu Li, Rui Yan, Fei Huang, Yongbin Li
Affiliations: Gaoling School of Artificial Intelligence, Renmin University of China; Computer Science and Engineering Division, University of Michigan; DAMO Academy, Alibaba Group
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Task-oriented Dialogue;Spoken Conversation;Dialogue State Tracking;Response Generation;Natural Language Processing
Decision: Poster
Title: A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective
Authors: Chenhang Cui, Yazhou Ren, Jingyu Pu, Jiawei Li, Xiaorong Pu, Tianyi Wu, Yutao Shi, Lifang He
Affiliations: University of Electronic Science and Technology of China, China; Department of Computer Science and Engineering, Lehigh University, USA
Conference: nips 2023 (main track)
Keywords: multi-view learning， clustering
Decision: Poster
Title: On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them: A Gradient-Norm Perspective
Authors: Zeke Xie, Zhiqiang Xu, Jingzhao Zhang, Issei Sato, Masashi Sugiyama
Affiliations: RIKEN Center for AIP; The University of Tokyo; Tsinghua University; MBZUAI
Conference: nips 2023 (main track)
Keywords: Weight Decay;Regularization;Optimization;Deep Learning
Decision: Poster
Title: Higher-Order Uncoupled Dynamics Do Not Lead to Nash Equilibrium - Except When They Do
Authors: Sarah Toonsi, Jeff Shamma
Affiliations: Industrial and Enterprise Systems Engineering, University of Illinois Urbana-Champaign, Urbana, Illinois, USA
Conference: nips 2023 (main track)
Keywords: Learning in games;Nash equilibrium;Uncoupled Dynamics
Decision: Poster
Title: Conditional score-based diffusion models for Bayesian inference in infinite dimensions
Authors: Lorenzo Baldassari, Ali Siahkoohi, Josselin Garnier, Knut Solna, Maarten V. de Hoop
Affiliations: Ecole Polytechnique, IP Paris; Rice University; University of Basel; University of California Irvine
Conference: nips 2023 (main track)
Keywords: score-based generative models;diffusion models;inverse problems;bayesian inference;infinite dimensions
Decision: Spotlight
Title: Combinatorial Optimization with Policy Adaptation using Latent Space Search
Authors: Felix Chalumeau, Shikha Surana, Clément Bonnet, Nathan Grinsztajn, Arnu Pretorius, Alexandre Laterre, Tom Barrett
Affiliations: InstaDeep
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Combinatorial Optimization;TSP;CVRP;JSSP
Decision: Poster
Title: Online PCA in Converging Self-consistent Field Equations
Authors: Xihan Li, Xiang Chen, Rasul Tutunov, Haitham Bou Ammar, Lei Wang, Jun Wang
Affiliations: Huawei Noah’s Ark Lab; Huawei R&D U.K.; University College London; Institute of Physics, Chinese Academy of Sciences
Conference: nips 2023 (main track)
Keywords: Self-consistent Field Equation;Computational Science;Online PCA
Decision: Poster
Title: The Geometry of Neural Nets' Parameter Spaces Under Reparametrization
Authors: Agustinus Kristiadi, Felix Dangel, Philipp Hennig
Affiliations: University of Tübingen, Tübingen AI Center; Vector Institute, University of Tübingen
Conference: nips 2023 (main track)
Keywords: neural network;invariance;equivariance;reparametrization;riemannian geometry;parameter space
Decision: Spotlight
Title: Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning
Authors: Shenzhi Wang, Qisen Yang, Jiawei Gao, Matthieu Lin, HAO CHEN, Liwei Wu, Ning Jia, Shiji Song, Gao Huang
Affiliations: Independent Researcher; Department of Automation, BNRist, Tsinghua University; Department of Computer Science, BNRist, Tsinghua University; Beijing Academy of Artificial Intelligence (BAAI)
Conference: nips 2023 (main track)
Keywords: reinforcement learning;offline-to-online reinforcement learning;offline reinforcement learning;policy improvement;policy constraint
Decision: Spotlight
Title: HT-Step: Aligning Instructional Articles with How-To Videos
Authors: Triantafyllos Afouras, Effrosyni Mavroudi, Tushar Nagarajan, Huiyu Wang, Lorenzo Torresani
Affiliations: FAIR, Meta
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: step annotations;temporal article grounding;instructional video;instructional articles;how-to
Decision: Poster
Title: InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning
Authors: Wenliang Dai, Junnan Li, Junnan Li, DONGXU LI, Anthony Tiong, Anthony Meng Huat Tiong, Junqi Zhao, Weisheng Wang, Boyang Li, Pascale N Fung, Steven Hoi
Affiliations: Salesforce Research1; Salesforce Research†B,1; Hong Kong University of Science and Technology2; Salesforce Research†1,2∗Hong Kong University of Science and Technology; Nanyang Technological University, Singapore3; Salesforce Research1,3Nanyang Technological University, Singapore
Conference: nips 2023 (main track)
Keywords: Vision-Language Models;Instruction Tuning;Zero-shot
Decision: Poster
Title: Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework
Authors: Ziyi Huang, Henry Lam, Amirhossein Meisami, Haofeng Zhang
Affiliations: Adobe Inc., San Jose, CA, USA; Columbia University, New York, NY, USA
Conference: nips 2023 (main track)
Keywords: Bayesian bandits;approximate Bayesian inference;Bayesian Upper Confidence Bound;optimal regret order;bounded inference error
Decision: Poster
Title: Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection
Authors: Lingchen Meng, Xiyang Dai, Jianwei Yang, Dongdong Chen, Yinpeng Chen, Yinpeng Chen, Mengchen Liu, Yi-Ling Chen, Zuxuan Wu, Lu Yuan, Yu-Gang Jiang
Affiliations: Shanghai Key Lab of Intell. Info. Processing, School of CS, Fudan University; Microsoft
Conference: nips 2023 (main track)
Keywords: Long-tail object detection;visual semantics;soft supervision
Decision: Poster
Title: Adaptive whitening with fast gain modulation and slow synaptic plasticity
Authors: Lyndon Duong, Eero Simoncelli, Dmitri Chklovskii, David Lipshutz
Affiliations: Center for Computational Neuroscience, Flatiron Institute; Neuroscience Institute, NYU Langone Medical School; Center for Computational Neuroscience, Flatiron Institute; Center for Computational Neuroscience, Flatiron Institute; Center for Neural Science, New York University
Conference: nips 2023 (main track)
Keywords: neuroscience;adaptation;whitening;efficient coding;recurrent neural network;gain modulation;synaptic plasticity;local learning rules
Decision: Spotlight
Title: GAUCHE: A Library for Gaussian Processes in Chemistry
Authors: Ryan-Rhys Griffiths, Leo Klarner, Henry Moss, Aditya Ravuri, Sang Truong, Yuanqi Du, Samuel Stanton, Gary Tom, Bojana Rankovic, Arian Jamasb, Arian Jamasb, Aryan Deshwal, Julius Schwartz, Austin Tripp, Gregory Kell, Simon Frieder, Anthony Bourached, Alex Chan, Jacob Moss, Chengzhi Guo, Johannes Peter Dürholt, Saudamini Chaurasia, Ji Won Park, Felix Strieth-Kalthoff, Alpha Lee, Bingqing Cheng, Alan Aspuru-Guzik, Philippe Schwaller, Jian Tang
Affiliations: Syracuse University; Cornell University; University of Oxford; MILA Quebec AI Institute; Evonik Industries AG; University College London; Washington State University; Meta; University of Toronto; Stanford University; EPFL; University of Cambridge; IST Austria; King’s College London; Genentech
Conference: nips 2023 (main track)
Keywords: Gaussian processes;Bayesian optimization;Chemistry;Molecular Machine Learning;Applications;Software
Decision: Poster
Title: Optimal Learners for Realizable Regression: PAC Learning and Online Learning
Authors: Idan Attias, Steve Hanneke, Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas
Affiliations: Purdue University; Yale University, Google Research; Yale University; Ben-Gurion University of the Negev
Conference: nips 2023 (main track)
Keywords: Learning Theory;Regression;PAC Learning;Online Learning
Decision: Oral
Title: Balanced Training for Sparse GANs
Authors: Yite Wang, Jing Wu, NAIRA HOVAKIMYAN, Ruoyu Sun
Affiliations: School of Data Science, The Chinese University of Hong Kong, Shenzhen, China; Shenzhen International Center for Industrial and Applied Mathematics, Shenzhen Research Institute of Big Data; University of Illinois Urbana-Champaign, USA
Conference: nips 2023 (main track)
Keywords: Dynamics sparse training; pruning; neural network pruning; empirical deep learning
Decision: Poster
Title: Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models
Authors: Dat Do, Huy Nguyen, Khai Nguyen, Nhat Ho
Affiliations: Department of Statistics, University of Michigan at Ann Arbor, Ann Arbor, MI 48109; Department of Statistics and Data Sciences, The University of Texas at Austin, Austin, TX 78712
Conference: nips 2023 (main track)
Keywords: Mixture Model;Minimax Rate;Maximum Likelihood Estimation
Decision: Poster
Title: How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources
Authors: Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Chandu, David Wadden, Kelsey MacMillan, Noah Smith, Iz Beltagy, Hannaneh Hajishirzi
Affiliations: University of Washington; Allen Institute for AI
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Instruction tuning;large language models;open-source;systematic evaluation
Decision: Spotlight
Title: Hyper-HMM: aligning human brains and semantic features in a common latent event space
Authors: Caroline Lee, Jane Han, Ma Feilong, Guo Jiahui, James Haxby, Christopher Baldassano
Affiliations: Department of Psychology, Columbia University, New York, NY; Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH; Center for Cognitive Neuroscience, Dartmouth College, Hanover, NH
Conference: nips 2023 (main track)
Keywords: Brain Imaging;Other Cognitive Science;Other Neuroscience
Decision: Poster
Title: Compositional Sculpting of Iterative Generative Processes
Authors: Timur Garipov, Sebastiaan De Peuter, Ge Yang, Vikas Garg, Samuel Kaski, Tommi Jaakkola
Affiliations: YaiYai Ltd; University of Manchester; Aalto University; Institute for Artificial Intelligence and Fundamental Interactions; MIT CSAIL
Conference: nips 2023 (main track)
Keywords: generative model composition;GFlowNets;diffusion models;classifier guidance;probabilistic methods
Decision: Poster
Title: InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion
Authors: Fangzhou Lin, Yun Yue, Ziming Zhang, Songlin Hou, Kazunori Yamada, Vijaya Kolachalama, Venkatesh Saligrama
Affiliations: Worcester Polytechnic Institute, USA; Tohoku University, Japan; Boston University, USA
Conference: nips 2023 (main track)
Keywords: Contrastive learning; Point cloud completion
Decision: Poster
Title: Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach
Authors: Yudi Zhang, Yali Du, Biwei Huang, Ziyan Wang, Jun Wang, Meng Fang, Mykola Pechenizkiy
Affiliations: University of Liverpool; University College London; King’s College London; University of California San Diego; Eindhoven University of Technology
Conference: nips 2023 (main track)
Keywords: Reinforcement learning;sparse reward;return decomposition;causal modeling
Decision: Poster
Title: Ambient Diffusion: Learning Clean Distributions from Corrupted Data
Authors: Giannis Daras, Kulin Shah, Yuval Dagan, Aravind Gollakota, Alex Dimakis, Adam Klivans
Affiliations: Apple; UT Austin; UC Berkeley
Conference: nips 2023 (main track)
Keywords: corrupted data;generative models;ambient gan;inverse problems;learning from measurements
Decision: Poster
Title: Improving Self-supervised Molecular Representation Learning using Persistent Homology
Authors: Yuankai Luo, Lei Shi, Veronika Thost
Affiliations: MIT-IBM Watson AI Lab, IBM Research; Beihang University
Conference: nips 2023 (main track)
Keywords: Graph Neural Networks;Molecular Representation Learning;Persistent Homology;Contrastive Learning;Self-supervised Learning
Decision: Poster
Title: Restart Sampling for Improving Generative Processes
Authors: Yilun Xu, Mingyang Deng, Xiang Cheng, Yonglong Tian, Ziming Liu, Tommi Jaakkola
Affiliations: MIT; Google Research
Conference: nips 2023 (main track)
Keywords: Generative models;diffusion models;PFGM;sampling
Decision: Poster
Title: Online Corrupted User Detection and Regret Minimization
Authors: Zhiyong Wang, Jize Xie, Tong Yu, Shuai Li, John C.S. Lui
Affiliations: Shanghai Jiao Tong University; The Chinese University of Hong Kong; Adobe Research
Conference: nips 2023 (main track)
Keywords: online learning;online corrupted user detection;clustering of bandits
Decision: Poster
Title: A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization
Authors: Yuanyuan Liu, Fanhua Shang, Weixin An, Junhao Liu, Hongying Liu, Zhouchen Lin
Affiliations: School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University; Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, China; Medical College, Tianjin University, China; National Key Lab of General AI, School of Intelligence Science and Technology, Peking University, Institute for Artificial Intelligence, Peking University, Peng Cheng Laboratory
Conference: nips 2023 (main track)
Keywords: Constrained Minimax Optimization; nonconvex- nonconcave
Decision: Oral
Title: An Efficient and Robust Framework for Approximate Nearest Neighbor Search with Attribute Constraint
Authors: Mengzhao Wang, Lingwei Lv, Xiaoliang Xu, Yuxiang Wang, Qiang Yue, Jiongkang Ni
Affiliations: Hangzhou Dianzi University
Conference: nips 2023 (main track)
Keywords: approximate nearest neighbor search;attribute filtering;high-dimensional vector;proximity graph
Decision: Poster
Title: Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability
Authors: Maciej Falkiewicz, Naoya Takeishi, Imahn Shekhzadeh, Antoine Wehenkel, Arnaud Delaunoy, Gilles Louppe, Alexandros Kalousis
Affiliations: Computer Science Department, University of Geneva; HES-SO/HEG Genève; The University of Tokyo; RIKEN; HES-SO/HEG Genève; University of Liège
Conference: nips 2023 (main track)
Keywords: simulation-based inference;inverse problem;bayesian inference;uncertainty quantification;generative modeling
Decision: Poster
Title: Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis
Authors: Yulhwa Kim, Dongwon Jo, Hyesung Jeon, Taesu Kim, Daehyun Ahn, Hyungjun Kim, jae-joon kim
Affiliations: SqueezeBits Inc.; Seoul National University
Conference: nips 2023 (main track)
Keywords: diffusion models;post-training quantization
Decision: Poster
Title: Progressive Ensemble Distillation: Building Ensembles for Efficient Inference
Authors: Don Dennis, Abhishek Shetty, Anish Prasad Sevekari, Kazuhito Koishida, Virginia Smith
Affiliations: Carnegie Mellon University; University of California, Berkeley; Microsoft
Conference: nips 2023 (main track)
Keywords: Edge computing;compression;efficient inference;distillation and inference;run-time tradeoff;inference-time tradeoff;on-device;user-side;client-side
Decision: Poster
Title: Critical Initialization of Wide and Deep Neural Networks using Partial Jacobians: General Theory and Applications
Authors: Darshil Doshi, Tianyu He, Andrey Gromov
Affiliations: Meta AI, Menlo Park, CA 94025; Condensed Matter Theory Center & Department of Physics, University of Maryland, College Park, MD 20740
Conference: nips 2023 (main track)
Keywords: Criticality;Gaussian Process;Jacobian;LayerNorm;Residual connections;ResNet
Decision: Spotlight