hunoutl/paperlists huggingface dataset:
Title: Uncertainty-Aware Instance Reweighting for Off-Policy Learning
Authors: Xiaoying Zhang, Junpu Chen, Hongning Wang, Hong Xie, Yang Liu, John C.S. Lui, Hang Li
Affiliations: ChongQing University; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Science; ByteDance Research; Tsinghua University; The Chinese University of Hong Kong
Conference: nips 2023 (main track)
Keywords: off-policy learning;uncertainty
Decision: Poster
Title: MVDoppler: Unleashing the Power of Multi-View Doppler for MicroMotion-based Gait Classification
Authors: Soheil Hor, Shubo Yang, Jaeho Choi, Amin Arbabian
Affiliations: Department of Electrical Engineering, Stanford University, Stanford, CA 94305
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: micro-Doppler analysis;Gait analysis;multi-view sensor Fusion;Doppler-based Perception;mmWave Sensing
Decision: Poster
Title: Large Language Models are Visual Reasoning Coordinators
Authors: Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu
Affiliations: Microsoft Research, Redmond; University of California, Berkeley; S-Lab, Nanyang Technological University
Conference: nips 2023 (main track)
Keywords: visual reasoning;large language models
Decision: Poster
Title: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
Authors: Tobias Schröder, Zijing Ou, Jen Lim, Yingzhen Li, Sebastian Vollmer, Andrew Duncan
Affiliations: DFKI and RPTU Kaiserslautern; Imperial College London and The Alan Turing Institute; University of Warwick; Imperial College London
Conference: nips 2023 (main track)
Keywords: Energy-based models;statistical discrepancy;latent-variable model;density estimation
Decision: Poster
Title: Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Authors: Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang, LINGMING ZHANG
Affiliations: University of Illinois Urbana-Champaign; Nanjing University
Conference: nips 2023 (main track)
Keywords: LLM4Code;ChatGPT;Automated Test Generation
Decision: Poster
Title: Decorate3D: Text-Driven High-Quality Texture Generation for Mesh Decoration in the Wild
Authors: Yanhui Guo, Xinxin Zuo, Peng Dai, Juwei Lu, Xiaolin Wu, Li cheng, Youliang Yan, Songcen Xu, Xiaofei Wu
Affiliations: Noah’s Ark Lab, Canada; University of Alberta, Canada; McMaster University, Canada
Conference: nips 2023 (main track)
Keywords: Texture Generation;Text-Driven;3D-Consistent Editing;Neural Radiance Field
Decision: Poster
Title: Topological Obstructions and How to Avoid Them
Authors: Babak Esmaeili, Robin Walters, Heiko Zimmermann, Jan-Willem van de Meent
Affiliations: Amsterdam Machine Learning Lab, University of Amsterdam; Generative AI Group, Eindhoven University of Technology; Khoury College of Computer Sciences, Northeastern University
Conference: nips 2023 (main track)
Keywords: representation learning;variational autoencoders;homeomorphism;topological;equivariant;lie groups;normalizing flows
Decision: Poster
Title: MM-Fi: Multi-Modal Non-Intrusive 4D Human Dataset for Versatile Wireless Sensing
Authors: Jianfei Yang, He Huang, Yunjiao Zhou, Xinyan Chen, Yuecong Xu, Shenghai Yuan, Han Zou, Chris Xiaoxuan Lu, Lihua Xie
Affiliations: School of Informatics, University of Edinburgh; School of Electrical and Electronic Engineering, Nanyang Technological University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: wireless sensing;multi-modal dataset;human pose estimation;non-intrusive
Decision: Poster
Title: Explaining V1 Properties with a Biologically Constrained Deep Learning Architecture
Authors: Galen Pogoncheff, Jacob Granley, Michael Beyeler
Affiliations: Department of Computer Science, Department of Psychological & Brain Sciences, University of California, Santa Barbara, Santa Barbara, CA 93106; Department of Computer Science, University of California, Santa Barbara, Santa Barbara, CA 93106
Conference: nips 2023 (main track)
Keywords: NeuroAI;Neuroscience;Visual Stream;Convolutional Neural Networks;Biologically inspired deep learning
Decision: Poster
Title: Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition
Authors: Samuel Dooley, Rhea Sukthanker, John Dickerson, Colin White, Frank Hutter, Micah Goldblum
Affiliations: New York University; University of Maryland, Abacus.AI; Caltech, Abacus.AI; University of Maryland, Arthur AI; University of Freiburg
Conference: nips 2023 (main track)
Keywords: Bias Mitigation;Fairness;Facial Recognition
Decision: Oral
Title: Computing a human-like reaction time metric from stable recurrent vision models
Authors: Lore Goetschalckx, Lakshmi Narasimhan Govindarajan, Alekh Karkada Ashok, Aarit Ahuja, David Sheinberg, Thomas Serre
Affiliations: Integrative Computational Neuroscience (ICoN) Center, MIT, Cambridge, MA 02319; Department of Cognitive, Linguistic, & Psychological Sciences, Brown University, Providence, RI 02912; Carney Institute for Brain Science, Brown University, Providence, RI 02912; Neuroscience Department, Brown University, Providence, RI 02912
Conference: nips 2023 (main track)
Keywords: alignment;RNNs;reaction times;equilibrium dynamics;perceptual grouping;decision making
Decision: Spotlight
Title: Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks
Authors: Micah Goldblum, Hossein Souri, Renkun Ni, Manli Shu, Viraj Prabhu, Gowthami Somepalli, Prithvijit Chattopadhyay, Mark Ibrahim, Adrien Bardes, Judy Hoffman, Rama Chellappa, Andrew Wilson, Tom Goldstein
Affiliations: New York University; Inria; Georgia Institute of Technology; Meta AI Research; Johns Hopkins University; University of Maryland
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: self-supervised learning;object detection;segmentation;out-of-distribution;domain shift;image retrieval;transfer learning
Decision: Poster
Title: Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions
Authors: Duligur Ibeling, Thomas Icard
Affiliations: Department of Philosophy, Stanford University; Department of Computer Science, Stanford University
Conference: nips 2023 (main track)
Keywords: potential outcomes framework;structural causal model;causal inference;logic;probability;graphical causal models;causal abstraction;causal machine learning
Decision: Poster
Title: DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models
Authors: Tsun-Hsuan Johnson Wang, Juntian Zheng, Pingchuan Ma, Yilun Du, Byungchul Kim, Andrew Spielberg, Josh Tenenbaum, Chuang Gan, Daniela Rus
Affiliations: Harvard; MIT-IBM Watson AI Lab; MIT; Tsinghua University
Conference: nips 2023 (main track)
Keywords: soft robot;diffusion model;co-design
Decision: Oral
Title: RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars
Authors: Dongwei Pan, Long Zhuo, Jingtan Piao, Huiwen Luo, Wei Cheng, Yuxin WANG, Siming Fan, Shengqi Liu, Lei Yang, Bo Dai, Ziwei Liu, Chen Change Loy, Chen Qian, Wayne Wu, Dahua Lin, Kwan-Yee Lin
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Head Avatar;Metaverse;Multi-view Human Head Dataset;High-Fidelity;High Diversity;Rich Annotation;Benchmarks
Decision: Poster
Title: CAPro: Webly Supervised Learning with Cross-modality Aligned Prototypes
Authors: Yulei Qin, Xingyu Chen, Yunhang Shen, Chaoyou Fu, Yun Gu, Ke Li, Xing Sun, Rongrong Ji
Affiliations: Xiamen University; Tencent YouTu Lab; Shanghai Jiao Tong University; ByteDance
Conference: nips 2023 (main track)
Keywords: webly supervised learning;representation learning;visual-semantic alignment;collective bootstrapping
Decision: Poster
Title: Beyond Normal: On the Evaluation of Mutual Information Estimators
Authors: Paweł Czyż, Frederic Grabowski, Julia Vogt, Niko Beerenwinkel, Alexander Marx
Affiliations: Department of Biosystems Science and Engineering, ETH Zurich; ETH AI Center, ETH Zurich; ETH AI Center, ETH Zurich; Department of Computer Science, ETH Zurich; Department of Computer Science, ETH Zurich; SIB Swiss Institute of Bioinformatics; Institute of Fundamental Technological Research, Polish Academy of Sciences; Department of Biosystems Science and Engineering, ETH Zurich; SIB Swiss Institute of Bioinformatics
Conference: nips 2023 (main track)
Keywords: Mutual Information;Invariance;Benchmark;Geometric Machine Learning
Decision: Poster
Title: General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence
Authors: Lingwei Zhu, Zheng Chen, Matthew Schlegel, Martha White
Affiliations: University of Alberta, CIFAR Canada AI Chair, Amii; Osaka University; University of Alberta
Conference: nips 2023 (main track)
Keywords: reinforcement learning;entropy regularization;Tsallis KL divergence
Decision: Poster
Title: Noether Embedding: Efficient Learning of Temporal Regularities
Authors: Chi Gao, Zidong Zhou, Luping Shi
Affiliations: Center for Brain-Inspired Computing Research, Optical Memory National Engineering Research Center, Tsinghua University - China Electronics Technology HIK Group Co. Joint Research Center for Brain-Inspired Computing, IDG / McGovern Institute for Brain Research at Tsinghua University, Department of Precision Instrument, Tsinghua University, Beijing 100084, China.
Conference: nips 2023 (main track)
Keywords: Schema Learning;Temporal Regularity;Event Embedding
Decision: Poster
Title: Going beyond persistent homology using persistent homology
Authors: Johanna Immonen, Amauri Souza, Vikas Garg
Affiliations: Aalto University, Federal Institute of Ceará; Aalto University, YaiYai Ltd; University of Helsinki
Conference: nips 2023 (main track)
Keywords: graph representation learning;topological deep learning;persistent homology;graph neural networks
Decision: Oral
Title: ProteinShake: Building datasets and benchmarks for deep learning on protein structures
Authors: Tim Kucera, Carlos Oliver, Dexiong Chen, Karsten Borgwardt
Affiliations: Department of Biosystems Science and Engineering, ETH Zürich, Switzerland; SIB, Swiss Institute of Bioinformatics, Basel, Switzerland; Max Planck Institute of Biochemistry, Martinsried, Germany
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: protein structure;benchmarking;datasets
Decision: Poster
Title: Improving Graph Matching with Positional Reconstruction Encoder-Decoder Network
Authors: Yixiao Zhou, Ruiqi Jia, Hongxiang Lin, Hefeng Quan, Yumeng Zhao, Xiaoqing Lyu
Affiliations: School of Artificial Intelligence, Beijing University of Posts and Telecommunications; Wangxuan Institute of Computer Technology, Beijing Institute of Big Data Research, Peking University; School of computer science and engineering, Nanjing University of Technology; Wangxuan Institute of Computer Technology, Peking University
Conference: nips 2023 (main track)
Keywords: Graph Matching;Positional Encoding
Decision: Poster
Title: Sharpness-Aware Minimization Leads to Low-Rank Features
Authors: Maksym Andriushchenko, Dara Bahri, Hossein Mobahi, Nicolas Flammarion
Affiliations: EPFL; Google Research
Conference: nips 2023 (main track)
Keywords: sharpness-aware minimization;low-rank features;understanding feature learning
Decision: Poster
Title: Learning Functional Transduction
Authors: Mathieu Chalvidal, Thomas Serre, Rufin VanRullen
Affiliations: Carney Institute for Brain Science, Brown University, U.S.; Centre de Recherche Cerveau & Cognition, CNRS, Universite de Toulouse, France; Capital Fund Management, Paris, France
Conference: nips 2023 (main track)
Keywords: Meta-learning;Neural Operators;Kernel methods;In-context learning
Decision: Spotlight
Title: Solving Inverse Physics Problems with Score Matching
Authors: Benjamin Holzschuh, Simona Vegetti, Nils Thuerey
Affiliations: Technical University of Munich, 85748 Garching, Germany; Max Planck Institute for Astrophysics, 85748 Garching, Germany
Conference: nips 2023 (main track)
Keywords: inverse problems;diffusion models;learned corrections;score matching
Decision: Poster
Title: ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns
Authors: Ren Li, Benoît Guillard, Benoit Guillard, Pascal Fua
Affiliations: Computer Vision Lab, EPFL, Lausanne, Switzerland
Conference: nips 2023 (main track)
Keywords: garment modeling;draping;deformation;human body modeling
Decision: Poster
Title: DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement
Authors: Wenxin Tai, Yue Lei, Fan Zhou, Goce Trajcevski, Ting Zhong
Affiliations: University of Electronic Science and Technology of China; University of Electronic Science and Technology of China, Kashi Institute of Electronics and Information Industry; Iowa State University
Conference: nips 2023 (main track)
Keywords: speech enhancement;diffusion models;adaptive prior;dropout;generalization
Decision: Poster
Title: MultiVENT: Multilingual Videos of Events and Aligned Natural Text
Authors: Kate Sanders, David Etter, Reno Kriz, Benjamin Van Durme
Affiliations: Johns Hopkins University, Human Language Technology Center of Excellence
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: video retrieval;information retrieval;multimodal;dataset;multilingual;video;ocr
Decision: Poster
Title: Characterizing the Optimal $0-1$ Loss for Multi-class Classification with a Test-time Attacker
Authors: Sihui Dai, Wenxin Ding, Arjun Nitin Bhagoji, Daniel Cullina, Heather Zheng, Ben Zhao, Prateek Mittal
Affiliations: University of Chicago; Princeton University; Pennsylvania State University
Conference: nips 2023 (main track)
Keywords: adversarial robustness;graph theory;fundamental bounds
Decision: Spotlight
Title: Discriminative Calibration: Check Bayesian Computation from Simulations and Flexible Classifier
Authors: Yuling Yao, Justin Domke
Affiliations: University of Massachusetts, Amherst, MA 01002; Flatiron Institute, New York, NY 10010
Conference: nips 2023 (main track)
Keywords: simulation based calibration;simulation based inference;Bayesian computation;diagnostics;classifier two-sample test;likelihood-free
Decision: Poster
Title: Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Federated Object Detection
Authors: Taehyeon Kim, Eric Lin, Junu Lee, Christian Lau, Vaikkunth Mugunthan
Affiliations: KAIST; The Wharton School; DynamoFL
Conference: nips 2023 (main track)
Keywords: Federated Learning;Semi-Supervised Learning;Object Detection
Decision: Poster
Title: Any-to-Any Generation via Composable Diffusion
Authors: Zineng Tang, Ziyi Yang, Chenguang Zhu, Michael Zeng, Mohit Bansal
Affiliations: Microsoft Azure Cognitive Services Research; University of North Carolina at Chapel Hill
Conference: nips 2023 (main track)
Keywords: Generative AI;Diffusion Model;Multimodal Generation;Audio-Video Generation
Decision: Poster
Title: Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning
Authors: Ahmadreza Moradipari, Mohammad Pedramfar, Modjtaba Shokrian Zini, Vaneet Aggarwal
Affiliations: Purdue University, West Lafayette, IN, USA; Toyota Motor North America, InfoTech Labs, Mountain View, CA, USA; Email: modjtaba.shokrianzini@gmail.com
Conference: nips 2023 (main track)
Keywords: Thompson Sampling;Reinforcement Learning;Bayesian Regret
Decision: Poster
Title: A General Theory of Correct, Incorrect, and Extrinsic Equivariance
Authors: Dian Wang, Xupeng Zhu, Jung Yeon Park, Mingxi Jia, Guanang Su, Robert Platt, Robin Walters
Affiliations: Northeastern University; Brown University; University of Minnesota
Conference: nips 2023 (main track)
Keywords: Equivariance;Deep Learning;Error Bound;Symmetry
Decision: Poster
Title: Constructing Non-isotropic Gaussian Diffusion Model Using Isotropic Gaussian Diffusion Model for Image Editing
Authors: Xi Yu, Xiang Gu, Haozhi Liu, Jian Sun
Affiliations: School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China
Conference: nips 2023 (main track)
Keywords: score-based diffusion model;non-isotropic Gaussian diffusion model;image editing
Decision: Poster
Title: Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model
Authors: Luning Sun, Xu Han, Han Gao, Jian-Xun Wang, Liping Liu
Affiliations: Tufts University, Medford, MA 02155; Lawrence Livermore National Lab, Livermore, CA 94550; Harvard University, Cambridge, MA 02138; University of Notre Dame, Notre Dame, IN 46556
Conference: nips 2023 (main track)
Keywords: AI4Science;Fluid Dynamics;Generative Models;Graph Neural Network
Decision: Spotlight
Title: Segment Anything in 3D with NeRFs
Authors: Jiazhong Cen, Zanwei Zhou, Jiemin Fang, chen yang, Wei Shen, Lingxi Xie, Dongsheng Jiang, XIAOPENG ZHANG, Qi Tian
Affiliations: MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University; Huawei Inc.; Huawei Inc., School of EIC, Huazhong University of Science and Technology
Conference: nips 2023 (main track)
Keywords: Segmentation;NeRF;3D segmentation
Decision: Poster
Title: CoLLAT: On Adding Fine-grained Audio Understanding to Language Models using Token-Level Locked-Language Tuning
Authors: Dadallage A R Silva, Spencer Whitehead, Christopher Lengerich, Hugh Leather
Affiliations: 1Meta AI (FAIR), 2The University of Melbourne; 1Meta AI (FAIR)
Conference: nips 2023 (main track)
Keywords: Audio Understanding;Contrastive Learning;Audio-Language Grounding
Decision: Poster
Title: Group Robust Classification Without Any Group Information
Authors: Christos Tsirigotis, Joao Monteiro, Pau Rodriguez, David Vazquez, Aaron Courville
Affiliations: Universit ´e de Montr ´eal, Mila, ServiceNow Research; ServiceNow Research; Universit ´e de Montr ´eal, Mila, CIFAR CAI Chair; Apple MLR
Conference: nips 2023 (main track)
Keywords: out-of-distribution generalization;robustness;fairness;spurious correlations;systematic generalization;model selection
Decision: Poster
Title: Scaling laws for language encoding models in fMRI
Authors: Richard Antonello, Aditya Vaidya, Alexander Huth
Affiliations: Department of Computer Science, The University of Texas at Austin; Departments of Computer Science and Neuroscience, The University of Texas at Austin
Conference: nips 2023 (main track)
Keywords: Encoding Models;Language Models;Neuroscience;Scaling Laws
Decision: Poster
Title: Implicit Convolutional Kernels for Steerable CNNs
Authors: Maksim Zhdanov, Nico Hoffmann, Gabriele Cesa
Affiliations: AMLab, University of Amsterdam; Qualcomm AI Research†, AMLab, University of Amsterdam; Helmholtz-Zentrum Dresden-Rossendorf
Conference: nips 2023 (main track)
Keywords: equivariance; group convolutions; implicit kernels; physical simulations
Decision: Poster
Title: Towards Accelerated Model Training via Bayesian Data Selection
Authors: Zhijie Deng, Peng Cui, Jun Zhu
Affiliations: Dept. of Comp. Sci. & Tech., Institute for AI, BNRist Center, Tsinghua-Bosch Joint ML Center, THBI Lab, Tsinghua University, Beijing, 100084 China; Qing Yuan Research Institute, Shanghai Jiao Tong University
Conference: nips 2023 (main track)
Keywords: data selection;training acceleration;probabilistic modeling;Bayesian methods
Decision: Poster
Title: Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots
Authors: Ruixiang (Ryan) Tang, Jiayi Yuan, Yiming Li, Zirui Liu, Rui Chen, Xia Hu
Affiliations: Samsung Electronics America; Department of Computer Science, Rice University; ZJU-Hangzhou Global Scientific and Technological Innovation Center, School of Cyber Science and Technology, Zhejiang University
Conference: nips 2023 (main track)
Keywords: Backdoor Defense;Honeypot
Decision: Poster
Title: Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing
Authors: Shuyao Li, Yu Cheng, Ilias Diakonikolas, Jelena Diakonikolas, Rong Ge, Stephen Wright
Affiliations: University of Wisconsin-Madison; Duke University; Brown University
Conference: nips 2023 (main track)
Keywords: low rank matrix sensing;non-convex optimization;high-dimensional robust statistics;second-order optimization;statistical query model
Decision: Poster
Title: Bilevel Coreset Selection in Continual Learning: A New Formulation and Algorithm
Authors: Jie Hao, Kaiyi Ji, Mingrui Liu
Affiliations: Department of CSE, University at Buffalo; Department of Computer Science, George Mason University
Conference: nips 2023 (main track)
Keywords: Coreset Selection;Continual Learning;Bilevel Optimization
Decision: Poster
Title: Foundation Model is Efficient Multimodal Multitask Model Selector
Authors: Fanqing Meng, Wenqi Shao, zhanglin peng, Chonghe Jiang, Kaipeng Zhang, Yu Qiao, Ping Luo
Affiliations: The University of Hong Kong, OpenGVLab, Shanghai AI Laboratory; The University of Hong Kong; OpenGVLab, Shanghai AI Laboratory; OpenGVLab, Shanghai AI Laboratory, Shanghai Jiao Tong University; The Chinese University of Hong Kong
Conference: nips 2023 (main track)
Keywords: transfer learning;model selection;foundation model
Decision: Poster
Title: Effective Targeted Attacks for Adversarial Self-Supervised Learning
Authors: Minseon Kim, Hyeonjeong Ha, Sooel Son, Sung Ju Hwang
Affiliations: Korea Advanced Institute of Science and Technology (KAIST); Korea Advanced Institute of Science and Technology (KAIST), DeepAuto.ai
Conference: nips 2023 (main track)
Keywords: Adversarial self supervised learning;targeted attack;self supervised learning;contrastive learning;positive mining
Decision: Poster
Title: TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models
Authors: Pum Jun Kim, Yoojin Jang, Jisu Kim, Jaejun Yoo
Affiliations: Ulsan National Institute of Science and Technology; Seoul National University, Inria, Paris-Saclay University
Conference: nips 2023 (main track)
Keywords: GAN;Evaluation;Support Estimation
Decision: Poster
Title: Mode Connectivity in Auction Design
Authors: Christoph Hertrich, Yixin Tao, László A. Végh
Affiliations: Department of Mathematics, London School of Economics and Political Science, UK; ITCS, Key Laboratory of Interdisciplinary Research of Computation and Economics, Shanghai University of Finance and Economics, China; Department of Mathematics, London School of Economics and Political Science, UK; Université Libre de Bruxelles, Belgium; Goethe-Universität Frankfurt, Germany
Conference: nips 2023 (main track)
Keywords: Differentiable Economics;Mechanism Design;Neural Network Theory;Mode Connectivity;RochetNet
Decision: Poster
Title: What is the Inductive Bias of Flatness Regularization? A Study of Deep Matrix Factorization Models
Authors: Khashayar Gatmiry, Zhiyuan Li, Tengyu Ma, Sashank Reddi, Stefanie Jegelka, Ching-Yao Chuang
Affiliations: Stanford University; Google; MIT; TU Munich & MIT
Conference: nips 2023 (main track)
Keywords: Sharpness minimization;Deep learning;Matrix factorization;Deep linear networks;Implicit bias;SGD;Trace of Hessian regularizer
Decision: Poster
Title: Estimating Propensity for Causality-based Recommendation without Exposure Data
Authors: Zhongzhou Liu, Yuan Fang, Min Wu
Affiliations: Institute for Infocomm Research, A*STAR, Singapore, 138632; School of Computing and Information Systems, Singapore Management University, Singapore, 178902
Conference: nips 2023 (main track)
Keywords: recommendation systems;causal effect;propensity score;propensity estimation
Decision: Poster
Title: Neuro-symbolic Learning Yielding Logical Constraints
Authors: Zenan Li, Yunpeng Huang, Zhaoyu Li, Yuan Yao, Jingwei Xu, Taolue Chen, Xiaoxing Ma, Jian Lu
Affiliations: State Key Lab of Novel Software Technology, Nanjing University, China; Department of Computer Science, University of Toronto, Canada; School of Computing and Mathematical Sciences, Birkbeck, University of London, UK
Conference: nips 2023 (main track)
Keywords: Neuro-symbolic learning;logical constraint learning;symbol grounding;difference-of-convex relaxation
Decision: Poster
Title: Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization
Authors: Jeonghoon Kim, Jung Hyun Lee, Sungdong Kim, Joonsuk Park, Kang Min Yoo, Se Jung Kwon, Dongsoo Lee
Affiliations: NAVER Cloud, SNU AI Center; NAVER Cloud, KAIST AI; NAVER Cloud; NAVER Cloud, NAVER AI Lab, University of Richmond
Conference: nips 2023 (main track)
Keywords: Large Language Models;Parameter-Efficient Fine-Tuning;Neural Network Quantization
Decision: Poster