hunoutl/paperlists huggingface dataset:
Title: A unified framework for information-theoretic generalization bounds
Authors: Yifeng Chu, Maxim Raginsky
Affiliations: Department of Electrical and Computer Engineering and Coordinated Science Laboratory, University of Illinois, Urbana, IL 61801, USA
Conference: nips 2023 (main track)
Keywords: generalization bounds;information theory;chaining;PAC-Bayes;couplings
Decision: Poster
Title: Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities
Authors: Andrii Zadaianchuk, Maximilian Seitzer, Georg Martius
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany; Max Planck Institute for Intelligent Systems, Tübingen, Germany; Department of Computer Science, ETH Zurich
Conference: nips 2023 (main track)
Keywords: object-centric learning;video;representation learning;self-supervised learning;unsupervised learning
Decision: Poster
Title: Scalable Membership Inference Attacks via Quantile Regression
Authors: Martin Bertran, Shuai Tang, Aaron Roth, Michael Kearns, Jamie Morgenstern, Steven Wu
Affiliations: Amazon AWS AI/ML; University of Washington, Amazon AWS AI/ML; University of Pennsylvania, Amazon AWS AI/ML; Carnegie Mellon University, Amazon AWS AI/ML
Conference: nips 2023 (main track)
Keywords: machine learning;privacy;membership inference
Decision: Poster
Title: QuadAttac$K$: A Quadratic Programming Approach to Learning Ordered Top-$K$ Adversarial Attacks
Authors: Thomas Paniagua, Ryan Grainger, Tianfu Wu
Affiliations: Department of Electrical and Computer Engineering, NC State
Conference: nips 2023 (main track)
Keywords: Ordered Top-K Clear-Box Targeted Adversarial Attack;Deep Neural Networks;Quadratic Programming;Robustness
Decision: Poster
Title: Trans-Dimensional Generative Modeling via Jump Diffusion Models
Authors: Andrew Campbell, William Harvey, Christian Weilbach, Valentin De Bortoli, Thomas Rainforth, Arnaud Doucet
Affiliations: Department of Computer Science, University of British Columbia, Vancouver, Canada; Department of Statistics, University of Oxford, UK; CNRS ENS Ulm, Paris, France
Conference: nips 2023 (main track)
Keywords: diffusion;score-based;score;markov chain;jump diffusion;poisson
Decision: Spotlight
Title: Achieving Cross Modal Generalization with Multimodal Unified Representation
Authors: Yan Xia, Hai Huang, Jieming Zhu, Zhou Zhao
Affiliations: Zhejiang University, Shanghai Artificial Intelligence Laboratory; Huawei Noah’s Ark Lab; Zhejiang University
Conference: nips 2023 (main track)
Keywords: multi-modal;discrete representation;mutual information estimation
Decision: Poster
Title: Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network
Authors: Tristan Deleu, Mizu Nishikawa-Toomey, Jithendaraa Subramanian, Nikolay Malkin, Laurent Charlin, Yoshua Bengio
Affiliations: McGill University; HEC Montr éal; Mila – Quebec AI Institute, CIFAR Senior Fellow; Mila – Quebec AI Institute
Conference: nips 2023 (main track)
Keywords: bayesian network;bayesian;structure learning;causal discovery;gflownet
Decision: Poster
Title: Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models
Authors: Gen Luo, Yiyi Zhou, Tianhe Ren, Shengxin Chen, Xiaoshuai Sun, Rongrong Ji
Affiliations: Peng Cheng Laboratory, Shenzhen, 518000, China.; Institute of Artificial Intelligence, Xiamen University, 361005, P.R. China.; Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, School of Informatics, Xiamen University, 361005, P.R. China.
Conference: nips 2023 (main track)
Keywords: vision-language instruction tuning;multimodal LLM;efficient training
Decision: Poster
Title: Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization
Authors: Hongzheng Yang, Cheng Chen, Yueyao CHEN, Scheppach, Hon Chi Yip, DOU QI
Affiliations: University Hospital of Augsburg; Harvard Medical School & Massachusetts General Hospital; The Chinese University of Hong Kong
Conference: nips 2023 (main track)
Keywords: uncertainty estimation;semantic segmentation;medical application
Decision: Poster
Title: A Bounded Ability Estimation for Computerized Adaptive Testing
Authors: Yan Zhuang, Qi Liu, Guanhao Zhao, Zhenya Huang, Weizhe Huang, Zachary Pardos, Enhong Chen, Jinze Wu, Xin Li
Affiliations: State Key Laboratory of Cognitive Intelligence, iFLYTEK Co., Ltd; Anhui Province Key Laboratory of Big Data Analysis and Application, University of Science and Technology of China; University of California, Berkeley
Conference: nips 2023 (main track)
Keywords: adaptive learning;computerized adaptive testing;educational measurement;cognitive diagnosis
Decision: Poster
Title: Understanding Deep Gradient Leakage via Inversion Influence Functions
Authors: Haobo Zhang, Junyuan Hong, Yuyang Deng, Mehrdad Mahdavi, Jiayu Zhou
Affiliations: Michigan State University; Michigan State University, University of Texas at Austin; Pennsylvania State University
Conference: nips 2023 (main track)
Keywords: Deep Learning;Privacy;Federated Learning;Influence Function
Decision: Poster
Title: Replicable Reinforcement Learning
Authors: Eric Eaton, Marcel Hussing, Michael Kearns, Jessica Sorrell
Affiliations: University of Pennsylvania, Philadelphia, PA 19104, eeaton@seas.upenn.edu; University of Pennsylvania, Philadelphia, PA 19104, mkearns@cis.upenn.edu; University of Pennsylvania, Philadelphia, PA 19104, mhussing@seas.upenn.edu; University of Pennsylvania, Philadelphia, PA 19104, jsorrell@seas.upenn.edu
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Learning Theory;Replicability;Reproducibility
Decision: Poster
Title: A Robust and Opponent-Aware League Training Method for StarCraft II
Authors: Ruozi Huang, Xipeng Wu, Hongsheng Yu, Zhong Fan, Haobo Fu, Qiang Fu, Wei Yang
Affiliations: Tencent AI Lab, Shenzhen, China
Conference: nips 2023 (main track)
Keywords: StarCraft II;league training;AlphaStar;opponent-modeling;reinforcement learning
Decision: Spotlight
Title: Safety Verification of Decision-Tree Policies in Continuous Time
Authors: Christian Schilling, Anna Lukina, Emir Demirović, Kim Larsen
Affiliations: TU Delft, Delft, The Netherlands; Aalborg University, Aalborg, Denmark
Conference: nips 2023 (main track)
Keywords: safety verification;decision tree;reinforcement learning;controller;continuous time
Decision: Spotlight
Title: PPi: Pretraining Brain Signal Model for Patient-independent Seizure Detection
Authors: Zhizhang Yuan, Daoze Zhang, YANG YANG, Junru Chen, Yafeng Li
Affiliations: Nuozhu Technology Co., Ltd.; Zhejiang University
Conference: nips 2023 (main track)
Keywords: Brain signal;Seizure detection;Pretraining;Domain generalization
Decision: Poster
Title: Federated Compositional Deep AUC Maximization
Authors: Xinwen Zhang, Yihan Zhang, Tianbao Yang, Richard Souvenir, Hongchang Gao
Affiliations: Texas A&M University, College Station, TX, USA; Temple University, Philadelphia, PA, USA
Conference: nips 2023 (main track)
Keywords: federated learning;compositional optimization;minimax optimization;AUC maximization
Decision: Poster
Title: Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions
Authors: Sayantan Choudhury, Eduard Gorbunov, Nicolas Loizou
Affiliations: AMS & MINDS, Johns Hopkins University; MBZUAI
Conference: nips 2023 (main track)
Keywords: Optimization;Machine Learning;Extragradient Methods;Min-Max Optimization
Decision: Poster
Title: Maximum State Entropy Exploration using Predecessor and Successor Representations
Authors: Arnav Kumar Jain, Lucas Lehnert, Irina Rish, Glen Berseth
Affiliations: Fundamental AI Research at Meta; Mila–Quebec AI Institute, Université de Montréal
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Maximum state entropy exploration;Non-Markovian exploration;Successor Representation
Decision: Poster
Title: Latent Graph Inference with Limited Supervision
Authors: Jianglin Lu, Yi Xu, Huan Wang, Yue Bai, Yun Fu
Affiliations: Department of Electrical and Computer Engineering, Northeastern University/Khoury College of Computer Science, Northeastern University; Department of Electrical and Computer Engineering, Northeastern University
Conference: nips 2023 (main track)
Keywords: Latent Graph Inference;CUR Matrix Decomposition;Graph Neural Networks
Decision: Poster
Title: NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding
Authors: Ming Hu, Lin Wang, Siyuan Yan, Don Ma, Qingli Ren, Peng Xia, Wei Feng, Peibo Duan, Lie Ju, Zongyuan Ge
Affiliations: College of Intelligent Systems Science and Engineering, Harbin Engineering University, China; Faculty of Engineering, Monash University, Australia; Nursing College, Shanxi Medical University, China; AIM Lab, Faculty of IT, Monash University, Australia
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Activity understanding; Action recognition; Nursing procedure; Standard level grading
Decision: Poster
Title: Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction
Authors: Zuobai Zhang, Minghao Xu, Aurelie Lozano, Vijil Chenthamarakshan, Payel Das, Jian Tang
Affiliations: IBM Research; Mila - Québec AI Institute, Université de Montréal; Mila - Québec AI Institute, HEC Montréal, CIFAR AI Chair
Conference: nips 2023 (main track)
Keywords: Protein representation learning;diffusion models;self-supervised learning
Decision: Spotlight
Title: Offline RL with Discrete Proxy Representations for Generalizability in POMDPs
Authors: Pengjie Gu, Xinyu Cai, Dong Xing, Xinrun Wang, Mengchen Zhao, Mengchen Zhao, Bo An
Affiliations: Noah’s Ark Lab, Huawei; College of Computer Science and Technology, Zhejiang University; School of Computer Science and Engineering, Nanyang Technological University, Singapore
Conference: nips 2023 (main track)
Keywords: Offline RL;POMDP
Decision: Poster
Title: Parallel-mentoring for Offline Model-based Optimization
Authors: Can (Sam) Chen, Christopher Beckham, Zixuan Liu, Xue (Steve) Liu, Chris Pal
Affiliations: University of Washington; MILA - Quebec AI Institute, Polytechnique Montreal; Polytechnique Montreal, Canada CIFAR AI Chair; McGill University, MILA - Quebec AI Institute
Conference: nips 2023 (main track)
Keywords: offline model-based optimization;bi-level optimization
Decision: Poster
Title: Emergent Communication in Interactive Sketch Question Answering
Authors: Zixing Lei, Yiming Zhang, Yuxin Xiong, Siheng Chen
Affiliations: Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai AI Laboratory; Cornell University; Cooperative Medianet Innovation Center, Shanghai Jiao Tong University
Conference: nips 2023 (main track)
Keywords: Emergent communication;Interactive;Question Answering
Decision: Poster
Title: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
Authors: Emanuele Marconato, Stefano Teso, Antonio Vergari, Andrea Passerini
Affiliations: School of Informatics, University of Edinburgh, Edinburgh, UK; DISI and DI, University of Trento and University of Pisa, Trento, Italy; DISI, University of Trento, Trento, Italy; CIMeC and DISI, University of Trento, Trento, Italy
Conference: nips 2023 (main track)
Keywords: Neuro-Symbolic Integration;Trustworthy AI;Concept Learning;Learning Shortcuts;Mitigation Strategies
Decision: Poster
Title: Optimistic Active Exploration of Dynamical Systems
Authors: Bhavya, Lenart Treven, Cansu Sancaktar, Sebastian Blaes, Stelian Coros, Andreas Krause
Affiliations: ETH Zürich; MPI for Intelligent Systems
Conference: nips 2023 (main track)
Keywords: Active Exploration;Reinforcement Learning;Dynamical Systems
Decision: Poster
Title: Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text
Authors: Wanrong Zhu, Jack Hessel, Anas Awadalla, Samir Yitzhak Gadre, Jesse Dodge, Alex Fang, Youngjae Yu, Ludwig Schmidt, William Yang Wang, Yejin Choi
Affiliations: Yonsei University; Columbia University; University of California, Santa Barbara; Allen Institute for Artificial Intelligence; Paul G. Allen School of Computer Science, University of Washington
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Multimodal dataset;vision-and-language;interleaved text and image sequence
Decision: Poster
Title: Non-Stationary Bandits with Auto-Regressive Temporal Dependency
Authors: Qinyi Chen, Negin Golrezaei, Djallel Bouneffouf
Affiliations: Operations Research Center, Massachusetts Institute of Technology; Sloan School of Management, Massachusetts Institute of Technology; IBM Research
Conference: nips 2023 (main track)
Keywords: non-stationary bandits; autoregressive model; low-regret policy; online learning algorithms
Decision: Poster
Title: D$^2$CSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and Dropouts
Authors: Fenggen Yu, Qimin Chen, Maham Tanveer, Ali Mahdavi Amiri, Hao Zhang
Affiliations: Simon Fraser University; Simon Fraser University, Amazon
Conference: nips 2023 (main track)
Keywords: 3D reconstruction;constructive solid geometry;unsupervised learning;compact shape assembly
Decision: Poster
Title: Modeling Human Visual Motion Processing with Trainable Motion Energy Sensing and a Self-attention Network
Authors: Zitang Sun, Yen-Ju Chen, Yung-Hao Yang, Shin'ya Nishida
Affiliations: Graduate School of Informatics, Kyoto University; NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation
Conference: nips 2023 (main track)
Keywords: motion perception;optical flow estimation;attention mechanism;psychophysics;In silico neurophysiology;human vision
Decision: Poster
Title: ForecastPFN: Synthetically-Trained Zero-Shot Forecasting
Authors: Samuel Dooley, Gurnoor Singh Khurana, Chirag Mohapatra, Siddartha V Naidu, Colin White
Affiliations: Abacus.AI, Caltech; Abacus.AI
Conference: nips 2023 (main track)
Keywords: Forecasting;Zero-shot;Synthetic Data
Decision: Poster
Title: Ignorance is Bliss: Robust Control via Information Gating
Authors: Manan Tomar, Riashat Islam, Riashat Islam, Matthew Taylor, Sergey Levine, Philip Bachman
Affiliations: McGill University; University of California, Berkeley; University of Alberta; Microsoft Research Montreal
Conference: nips 2023 (main track)
Keywords: representation learning;mutual information
Decision: Poster
Title: Tracr: Compiled Transformers as a Laboratory for Interpretability
Authors: David Lindner, Janos Kramar, Sebastian Farquhar, Matthew Rahtz, Tom McGrath, Vladimir Mikulik
Affiliations: Google DeepMind
Conference: nips 2023 (main track)
Keywords: interpretability;transformers;language models;RASP;Tracr;mechanistic interpretability
Decision: Spotlight
Title: CQM: Curriculum Reinforcement Learning with a Quantized World Model
Authors: Seungjae Lee, Daesol Cho, Jonghae Park, H. Jin Kim
Affiliations: Seoul National University, Automation and Systems Research Institute (ASRI), Artificial Intelligence Institute of Seoul National University (AIIS)
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Curriculum Learning;Goal-conditioned RL
Decision: Poster
Title: FACE: Evaluating Natural Language Generation with Fourier Analysis of Cross-Entropy
Authors: Zuhao Yang, Yingfang Yuan, Yang Xu, SHUO ZHAN, Huajun Bai, Kefan Chen
Affiliations: Department of Computer Science, Southern University of Science and Technology; School of Computer Science and Engineering, Nanyang Technological University; Genify; School of Mathematical and Computer Sciences, Heriot-Watt University
Conference: nips 2023 (main track)
Keywords: natural language generation; evaluation metrics; cross-entropy; language model
Decision: Poster
Title: Stable Diffusion is Unstable
Authors: Chengbin Du, Yanxi Li, Zhongwei Qiu, Chang Xu
Affiliations: School of Computer Science, Faculty of Engineering, University of Sydney, Australia
Conference: nips 2023 (main track)
Keywords: Adversarial Attack;Generative Model;Diffusion Model;Latent Diffusion Model;Conditional Latent Diffusion Model
Decision: Spotlight
Title: SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models
Authors: Hongxin Li, Jingran Su, Yuntao Chen, Qing Li, ZHAO-XIANG ZHANG
Affiliations: School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS); State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences; Center for Artificial Intelligence and Robotics, HKISI, CAS; Shanghai Artificial Intelligence Laboratory; Center for Artificial Intelligence and Robotics, HKISI, CAS; The Hong Kong Polytechnic University; Center for Artificial Intelligence and Robotics, HKISI, CAS; The Hong Kong Polytechnic University; School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS); State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences
Conference: nips 2023 (main track)
Keywords: Large Language Model; Task Planning; Embodied AI; Robotics; Software Automation; Decision making
Decision: Poster
Title: Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes
Authors: Yizi Zhang, Tianxiao He, Julien Boussard, Charles Windolf, Olivier Winter, Eric Trautmann, Noam Roth, Hailey Barrell, Mark Churchland, Nicholas A Steinmetz, Erdem Varol, Cole Hurwitz, Liam Paninski
Affiliations: New York University; University of Washington in Seattle; The International Brain Laboratory; Columbia University
Conference: nips 2023 (main track)
Keywords: neural decoding;brain-computer interfaces;spike sorting;variational inference;generative models
Decision: Spotlight
Title: GlyphControl: Glyph Conditional Control for Visual Text Generation
Authors: Yukang Yang, Dongnan Gui, YUHUI YUAN, Weicong Liang, Haisong Ding, Han Hu, Kai Chen
Affiliations: Microsoft Research Asia; University of Science and Technology of China; Princeton University
Conference: nips 2023 (main track)
Keywords: Generative Models;Visual Text Generation;Diffusion Models
Decision: Poster
Title: No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models
Authors: Jean Kaddour, Oscar Key, Piotr Nawrot, Pasquale Minervini, Matt Kusner
Affiliations: School of Informatics, University of Edinburgh; Centre for Artificial Intelligence, University College London
Conference: nips 2023 (main track)
Keywords: language models;transformers;efficient training
Decision: Poster
Title: Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond
Authors: Taiji Suzuki, Denny Wu, Kazusato Oko, Atsushi Nitanda
Affiliations: New York University, Flatiron Institute; University of Tokyo; RIKEN AIP, Kyushu Institute of Technology; University of Tokyo, RIKEN AIP
Conference: nips 2023 (main track)
Keywords: mean-field regime;feature learning;Neural network optimization;sparse parity function;classification;sample complexity
Decision: Poster
Title: The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications
Authors: Mirac Suzgun, Luke Melas-Kyriazi, Suproteem Sarkar, Scott D Kominers, Stuart Shieber
Affiliations: Stanford University; Oxford University; Harvard University, a16z crypto; Harvard University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: hupd;patents;innovation;dataset;harvard-uspto;uspto;intellectual-property;nlp;classification;summarization;language-modeling;patent-analysis
Decision: Spotlight
Title: Exponential Lower Bounds for Fictitious Play in Potential Games
Authors: Ioannis Panageas, Nikolas Patris, Stratis Skoulakis, Volkan Cevher
Affiliations: University of California, Irvine; LIONS, EPFL
Conference: nips 2023 (main track)
Keywords: fictitious play;convergence rate;potential games
Decision: Poster
Title: SPACE: Single-round Participant Amalgamation for Contribution Evaluation in Federated Learning
Authors: Yi-Chung Chen, Hsi-Wen Chen, Shun-Gui Wang, Ming-syan Chen
Affiliations: National Taiwan University
Conference: nips 2023 (main track)
Keywords: Federated Learning;Contribution Evaluation;Shapley Value;Knowledge Amalgamation
Decision: Poster
Title: Add and Thin: Diffusion for Temporal Point Processes
Authors: David Lüdke, Marin Biloš, Oleksandr Shchur, Marten Lienen, Stephan Günnemann 
Affiliations: Machine Learning Research, Morgan Stanley, United States; Amazon Web Services, Germany; School of Computation, Information and Technology, Technical University of Munich, Germany; Munich Data Science Institute, Technical University of Munich, Germany
Conference: nips 2023 (main track)
Keywords: Point Processes;Diffusion;Temporal Data;Generative Model;Forecasting;Density Estimation;Denoising
Decision: Poster
Title: SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations
Authors: Youngsoo Jang, Geon-Hyeong Kim, Jongmin Lee, Sungryull Sohn, Byoungjip Kim, Honglak Lee, Moontae Lee
Affiliations: LG AI Research, University of Illinois Chicago; LG AI Research; University of California, Berkeley
Conference: nips 2023 (main track)
Keywords: Imitation learning;Preference-based learning;Safe imitation learning
Decision: Poster
Title: Derandomized novelty detection with FDR control via conformal e-values
Authors: Meshi Bashari, Amir Epstein, Yaniv Romano, Matteo Sesia
Affiliations: Department of Electrical and Computer Engineering, Department of Computer Science, Technion IIT, Haifa, Israel; Department of Data Sciences and Operations, University of Southern California, Los Angeles, California, USA; Department of Electrical and Computer Engineering, Technion IIT, Haifa, Israel; Citi Innovation Lab, Tel Aviv, Israel
Conference: nips 2023 (main track)
Keywords: Conformal inference;Derandomization;E-values;False discovery rate;Out-of-distribution testing;Testing for outliers;Uncertainty
Decision: Poster
Title: Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning
Authors: Changsheng Lv, Shuai Zhang, Yapeng Tian, Mengshi Qi, Huadong Ma
Affiliations: Department of Computer Science, The University of Texas at Dallas; Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications
Conference: nips 2023 (main track)
Keywords: Physical Audiovisual；Commonsense Reasoning
Decision: Poster
Title: Secure Out-of-Distribution Task Generalization with Energy-Based Models
Authors: Shengzhuang Chen, Long-Kai Huang, Jonathan Richard Schwarz, Yilun Du, Ying Wei
Affiliations: University College London; City University of Hong Kong; Nanyang Technological University; Massachusetts Institute of Technology; Tencent AI Lab
Conference: nips 2023 (main track)
Keywords: meta-generalization;out-of-distribution tasks
Decision: Poster
Title: The Bayesian Stability Zoo
Authors: Shay Moran, Hilla Schefler, Jonathan Shafer
Affiliations: Department of Mathematics & Department of Computer Science, Technion – Israel Institute of Technology; Department of Mathematics, Technion – Israel Institute of Technology; Computer Science Division, UC Berkeley
Conference: nips 2023 (main track)
Keywords: Algorithmic stability;Replicability;Differential Privacy;KL Stability;Mutual Information Stability;Global Stability;Perfect Generalization;PAC Learning;Littlestone Dimension;Clique Dimension;PAC Bayes
Decision: Poster
Title: DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation Learning
Authors: Alexander Liu, Heng-Jui Chang, Michael Auli, Wei-Ning Hsu, Jim Glass
Affiliations: Meta AI; MIT CSAIL
Conference: nips 2023 (main track)
Keywords: speech representation learning;self-supervised learning;self-distillation;discrete representation learning
Decision: Poster
Title: Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense
Authors: Zhiyuan Zhang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
Affiliations: National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University; Pattern Recognition Center, WeChat AI, Tencent Inc., China
Conference: nips 2023 (main track)
Keywords: federated learning;backdoor learning;robust federated aggregation;data divergence
Decision: Poster