hunoutl/paperlists huggingface dataset:
Title: Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training
Authors: Jian Meng, Li Yang, Kyungmin Lee, Jinwoo Shin, Deliang Fan, Jae-sun Seo
Affiliations: University of North Carolina at Charlotte, USA; Cornell Tech, USA; KAIST, South Korea; John Hopkins University, USA
Conference: nips 2023 (main track)
Keywords: Contrastive Learning;Self-supervised Learning;Energy-efficient contrastive learning
Decision: Poster
Title: The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification
Authors: Linhao Qu, xiaoyuan luo, Kexue Fu, Manning Wang, Zhijian Song
Affiliations: Digital Medical Research Center, School of Basic Medical Science, Fudan University
Conference: nips 2023 (main track)
Keywords: multiple instance learning;whole slide image classification;prompt learning;vision-language model;few-shot learning
Decision: Poster
Title: InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding
Authors: Junda Wu, Junda Wu, Tong Yu, Rui Wang, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao
Affiliations: Duke University and KAUST; Duke University; Shanghai Jiao Tong University; Adobe Research; University of Cambridge; University of California, San Diego
Conference: nips 2023 (main track)
Keywords: soft prompt tuning
Decision: Poster
Title: Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning
Authors: Yizhou Zhang, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Liang Tong, Haifeng Chen, Yan Liu
Affiliations: AWS AI Labs; Stellar Cyber Inc.; NEC Laboratories America; University of Southern California
Conference: nips 2023 (main track)
Keywords: Few-Shot Learning;Meta Learning;Task Representation
Decision: Poster
Title: Reining Generalization in Offline Reinforcement Learning via Representation Distinction
Authors: Yi Ma, Hongyao Tang, Dong Li, Zhaopeng Meng
Affiliations: Noah’s Ark Lab, Huawei Technology; Université de Montréal, Mila; College of Intelligence and Computing, Tianjin University
Conference: nips 2023 (main track)
Keywords: Offline Reinforcement Learning
Decision: Poster
Title: Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities
Authors: Dongrui Liu, Huiqi Deng, Xu Cheng, Xu Cheng, Qihan Ren, Kangrui Wang, Quanshi Zhang
Affiliations: University of Chicago; Shanghai Jiao Tong University
Conference: nips 2023 (main track)
Keywords: representation complexity;deep learning
Decision: Poster
Title: SEENN: Towards Temporal Spiking Early Exit Neural Networks
Authors: Yuhang Li, Tamar Geller, Youngeun Kim, Priyadarshini Panda
Affiliations: Yale University, New Haven, CT, USA
Conference: nips 2023 (main track)
Keywords: Spiking Neural Networks;ANN-SNN Conversion;Conditional Computing
Decision: Poster
Title: Neural Lighting Simulation for Urban Scenes
Authors: Ava Pun, Gary Sun, Jingkang Wang, Yun Chen, Ze Yang, Sivabalan Manivasagam, Wei-Chiu Ma, Raquel Urtasun
Affiliations: Waabi, University of Toronto; Waabi, University of Toronto, MIT; University of Toronto, University of Waterloo
Conference: nips 2023 (main track)
Keywords: Scene Relighting;Lighting Estimation;Camera Simulation;Self-Driving;Lighting Simulation;Scene Editing
Decision: Poster
Title: Beyond Average Return in Markov Decision Processes
Authors: Alexandre Marthe, Aurélien Garivier, Claire Vernade
Affiliations: UMPA UMR 5669 and LIP UMR 5668, Univ. Lyon, ENS de Lyon, 46 allée d’Italie F-69364 Lyon cedex 07, France; University of Tuebingen, Tuebingen, Germany; UMPA, ENS de Lyon, Lyon, France
Conference: nips 2023 (main track)
Keywords: Markov Decision Process;Dynamic Programming;statistical functionnals;Distributionnal Reinforcement Learning;Policy Evaluation;Planning
Decision: Poster
Title: Memory-Constrained Algorithms for Convex Optimization
Authors: Moise Blanchard, Junhui Zhang, Patrick Jaillet
Affiliations: Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA 02139; Operations Research Center, MIT, Cambridge, MA 02139
Conference: nips 2023 (main track)
Keywords: Convex optimization;feasibility problem;first-order methods;memory constraints;cutting planes;oracle complexity
Decision: Poster
Title: FIND: A Function Description Benchmark for Evaluating Interpretability Methods
Authors: Sarah Schwettmann, Tamar Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba
Affiliations: MIT CSAIL; Northeastern University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Interpretability;Explainability;Dataset;Benchmark;LLMs;LM Agents;Language Model
Decision: Poster
Title: Robust Mean Estimation Without Moments for Symmetric Distributions
Authors: Gleb Novikov, Gleb Novikov, David Steurer, Stefan Tiegel
Affiliations: Department of Computer Science, ETH Zurich
Conference: nips 2023 (main track)
Keywords: Robust Mean Estimation;Unbounded First Moment;Symmetric Distributions (Spherical;Elliptical;Product);Filtering Algorithm;Huber Loss
Decision: Poster
Title: Unleashing the Power of Randomization in Auditing Differentially Private ML
Authors: Krishna Pillutla, Galen Andrew, Peter Kairouz, H. Brendan McMahan, Alina Oprea, Sewoong Oh
Affiliations: University of Washington; Northeastern University; Google Research
Conference: nips 2023 (main track)
Keywords: Differential privacy auditing;multiple canaries;randomization;lifting;adaptive confidence intervals
Decision: Poster
Title: Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Method
Authors: Constantine Caramanis, Dimitris Fotakis, Alkis Kalavasis, Vasilis Kontonis, Christos Tzamos
Affiliations: UT Austin & Archimedes / Athena RC; Yale University; NTUA & Archimedes / Athena RC; UT Austin; UOA & Archimedes / Athena RC
Conference: nips 2023 (main track)
Keywords: Policy Gradient;Combinatorial Optimization;Gradient Descent
Decision: Oral
Title: Transient Neural Radiance Fields for Lidar View Synthesis and 3D Reconstruction
Authors: Anagh Malik, Parsa Mirdehghan, Sotiris Nousias, Kyros Kutulakos, David Lindell
Affiliations: University of Toronto; University of Toronto, Vector Institute
Conference: nips 2023 (main track)
Keywords: neural radiance fields;3D reconstruction;single-photon lidar;computational imaging
Decision: Spotlight
Title: Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models
Authors: Anant Raj, Umut Simsekli, Alessandro Rudi
Affiliations: Coordinated Science Laboratory, University of Illinois Urbana-Champaign; Inria, Ecole Normale Supérieure, PSL Research University, Paris, France; Inria, CNRS, Ecole Normale Supérieure, PSL Research University, Paris, France
Conference: nips 2023 (main track)
Keywords: Kernel Methods;Sampling;Fokker-Planck Equation;Fractional Fokker-Planck Equation;Stochastic Differential Equations;Partial Differential Equations
Decision: Poster
Title: SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics
Authors: Atul Kumar Sinha, Daniele Paliotta, Bálint Máté, John Raine, Tobias Golling, François Fleuret
Affiliations: University of Geneva, CERN; University of Geneva
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: HEP;Point Clouds;Generative Models;Simulation;Synthetic dataset;Calorimeter
Decision: Poster
Title: Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond $1+\alpha$ Moments
Authors: Trung Dang, Jasper Lee, Maoyuan 'Raymond' Song, Paul Valiant
Affiliations: University of Wisconsin-Madison; Purdue University; The University of Texas at Austin
Conference: nips 2023 (main track)
Keywords: mean estimation;instance optimality
Decision: Poster
Title: AirDelhi: Fine-Grained Spatio-Temporal Particulate Matter Dataset From Delhi For ML based Modeling
Authors: Sachin Chauhan, Zeel Bharatkumar Patel, Sayan Ranu, Rijurekha Sen, Nipun Batra
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: PM2.5 Dataset;PM10 Dataset;Machine Learning (ML) Modeling;Mobile Sensing;Low Cost Sensing
Decision: Poster
Title: Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics
Authors: Guillaume Mahey, Laetitia Chapel, Gilles Gasso, Clément Bonet, Nicolas Courty
Affiliations: INSA Rouen Normandie, LITIS; Université Bretagne Sud, IRISA; INSA Rouen Normandie - Université Bretagne Sud, LITIS - IRISA; Université Bretagne Sud - Institut Agro Rennes-Angers, IRISA; Université Bretagne Sud, LMBA
Conference: nips 2023 (main track)
Keywords: Optimal Transport;Wasserstein distance;Generalized Geodesics;Sliced Wasserstein
Decision: Spotlight
Title: DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework
Authors: Siran Dai, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
Affiliations: School of Cyber Science and Tech., Shenzhen Campus of Sun Yat-sen University; SKLOIS, Institute of Information Engineering, CAS; School of Cyber Security, University of Chinese Academy of Sciences; School of Computer Science and Tech., University of Chinese Academy of Sciences; Key Lab. of Intelligent Information Processing, Institute of Computing Tech., CAS; BDKM, University of Chinese Academy of Sciences; Key Lab. of Intelligent Information Processing, Institute of Computing Tech., CAS; School of Computer Science and Tech., University of Chinese Academy of Sciences
Conference: nips 2023 (main track)
Keywords: Robust Learning AUC
Decision: Poster
Title: Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity
Authors: Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Rafael Pinot, Geovani Rizk
Affiliations: Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland
Conference: nips 2023 (main track)
Keywords: Optimization;Byzantine resilience;Distributed machine learning;federated learning
Decision: Spotlight
Title: REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths
Authors: Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Xin Zhao, Ji-Rong Wen
Affiliations: Huawei Noah’s Ark Lab, China; Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China; Gaoling School of Artiﬁcial Intelligence, Renmin University of China, Beijing, China; www.ruizhang.info; Department of Computer Science, Hong Kong Baptist University, Hong Kong
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Explainable Recommendation;Recommendation Dataset;Labeling Ground Truths
Decision: Poster
Title: AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks
Authors: Chongyu Qu, Tiezheng Zhang, Hualin Qiao, jie liu, Yucheng Tang, Alan Yuille, Zongwei Zhou
Affiliations: NVIDIA; Rutgers University; Johns Hopkins University; City University of Hong Kong
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Organ Segmentation;Active Learning;Interactive Segmentation;Medical Image Analysis
Decision: Poster
Title: Learning with Explanation Constraints
Authors: Rattana Pukdee, Dylan Sam, J. Zico Kolter, Maria-Florina Balcan, Pradeep Ravikumar
Affiliations: Carnegie Mellon University; Carnegie Mellon University, Bosch Center for AI
Conference: nips 2023 (main track)
Keywords: Interpretable ML;Semi-supervised learning;Learning theory
Decision: Poster
Title: Clifford Group Equivariant Neural Networks
Authors: David Ruhe, Johannes Brandstetter, Patrick Forré
Affiliations: AI4Science Lab, AMLab, University of Amsterdam; Microsoft Research, AI4Science; AI4Science Lab, AMLab, API, University of Amsterdam
Conference: nips 2023 (main track)
Keywords: Clifford algebras;geometric deep dearning;Clifford group equivariance;E(n)-equivariant neural networks;O(n)-equivariant neural networks
Decision: Oral
Title: Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization
Authors: Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li
Affiliations: Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University; Key Lab of Education Blockchain and Intelligent Technology, Guangxi Normal University; Department of Computer Science and Technology, Tsinghua University
Conference: nips 2023 (main track)
Keywords: dynamic graph learning;out-of-distribution generalization;invariant learning;link prediction
Decision: Poster
Title: SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation
Authors: Zhongang Cai, Wanqi Yin, Ailing Zeng, CHEN WEI, Qingping SUN, Wang Yanjun, Hui En Pang, Haiyi Mei, Mingyuan Zhang, Lei Zhang, Chen Change Loy, Lei Yang, Ziwei Liu
Affiliations: International Digital Economy Academy (IDEA); S-Lab, Nanyang Technological University; SenseTime Research
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Expressive Human Pose and Shape Estimation;Benchmarks;Datasets;Foundation Models
Decision: Poster
Title: Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses
Authors: Gon Buzaglo, Niv Haim, Gilad Yehudai, Gal Vardi, Yakir Oz, Yaniv Nikankin, Michal Irani
Affiliations: TTI-Chicago and the Hebrew University of Jerusalem; Weizmann Institute of Science, Rehovot, Israel
Conference: nips 2023 (main track)
Keywords: memorization;data reconstruction;implicit bias
Decision: Poster
Title: Training Transitive and Commutative Multimodal Transformers with LoReTTa
Authors: Manuel Tran, Yashin Dicente Cid, Amal Lahiani, Fabian Theis, Tingying Peng, Eldad Klaiman
Affiliations: Technical University of Munich, Helmholtz Munich; Roche Diagnostics GmbH; Roche Diagnostics S.L.; Roche Diagnostics GmbH, Technical University of Munich, Helmholtz Munich
Conference: nips 2023 (main track)
Keywords: generative pre-training;causal modeling;masked modeling;commutative modeling;transitive modeling;multimodal learning
Decision: Poster
Title: Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily
Authors: Langzhang Liang, Xiangjing Hu, Zenglin Xu, Zixing Song, Irwin King
Affiliations: Harbin Institute of Technology, Shenzhen; Harbin Institute of Technology, Shenzhen & Pengcheng Lab; The Chinese University of Hong Kong
Conference: nips 2023 (main track)
Keywords: graph neural networks;heterophily problem;global label relationship matrix
Decision: Poster
Title: The Equivalence of Dynamic and Strategic Stability under Regularized Learning in Games
Authors: Victor Boone, Panayotis Mertikopoulos
Affiliations: Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LIG, 38000 Grenoble, France
Conference: nips 2023 (main track)
Keywords: Regularized learning;dynamic stability;strategic stability;Nash equilibrium
Decision: Spotlight
Title: FouriDown: Factoring Down-Sampling into Shuffling and Superposing
Authors: Qi Zhu, man zhou, Jie Huang, Naishan Zheng, Hongzhi Gao, Chongyi Li, Yuan Xu, Feng Zhao
Affiliations: Nanyang Technological University; University of Science and Technology of China; Nankai University; S-Lab, Nanyang Technological University
Conference: nips 2023 (main track)
Keywords: Image restoration;Down-Sampling;Fourier transform
Decision: Poster
Title: Private Distribution Learning with Public Data: The View from Sample Compression
Authors: Shai Ben-David, Alex Bie, Clément L Canonne, Gautam Kamath, Vikrant Singhal
Affiliations: University of Sydney; University of Waterloo, Vector Institute; University of Waterloo
Conference: nips 2023 (main track)
Keywords: differential privacy;distribution learning;gaussians;mixture of gaussians;compression schemes;robust compression schemes;privacy
Decision: Spotlight
Title: Contrastive Training of Complex-Valued Autoencoders for Object Discovery
Authors: Aleksandar Stanić, Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber
Affiliations: The Swiss AI Lab, IDSIA, USI & SUPSI, Lugano, Switzerland; The Swiss AI Lab, IDSIA, USI & SUPSI, Lugano, Switzerland; AI Initiative, KAUST, Thuwal, Saudi Arabia; Center for Brain Science, Harvard University, Cambridge, USA
Conference: nips 2023 (main track)
Keywords: object-centric learning;complex-valued networks;unsupervised learning;temporal correlation hypothesis
Decision: Poster
Title: Label Correction of Crowdsourced Noisy Annotations with an Instance-Dependent Noise Transition Model
Authors: Hui GUO, Boyu Wang, Grace Yi
Affiliations: Department of Computer Science, University of Western Ontario; Department of Statistical and Actuarial Sciences, Department of Computer Science, University of Western Ontario
Conference: nips 2023 (main track)
Keywords: Noisy Label;Instance-Dependent Transition Matrix;Label Correction;Crowdsourcing
Decision: Poster
Title: Regret-Optimal Model-Free Reinforcement Learning for Discounted MDPs with Short Burn-In Time
Authors: Xiang Ji, Gen Li
Affiliations: Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ 08544, USA; Department of Statistics, The Chinese University of Hong Kong, Hong Kong, China
Conference: nips 2023 (main track)
Keywords: reinforcement learning theory;regret minimization;minimax optimality
Decision: Poster
Title: What Truly Matters in Trajectory Prediction for Autonomous Driving?
Authors: Tran Phong, Haoran Wu, Cunjun Yu, Panpan Cai, Sifa Zheng, David Hsu
Affiliations: National University of Singapore; Shanghai Jiao Tong University; Tsinghua University
Conference: nips 2023 (main track)
Keywords: trajectory prediction; autonomous driving
Decision: Poster
Title: $H$-Consistency Bounds: Characterization and Extensions
Authors: Anqi Mao, Mehryar Mohri, Yutao Zhong
Affiliations: Courant Institute, New York, NY 10012; Google Research & CIMS, New York, NY 10011
Conference: nips 2023 (main track)
Keywords: consistency;H-consistency;characterization;learning theory
Decision: Poster
Title: PromptRestorer: A Prompting Image Restoration Method with Degradation Perception
Authors: Cong Wang, Jinshan Pan, Wei Wang, Jiangxin Dong, Mengzhu Wang, Yakun Ju, Junyang Chen
Affiliations: Nanjing University of Science and Technology; Hebei University of Technology; Shenzhen University; The Hong Kong Polytechnic University; Dalian University of Technology
Conference: nips 2023 (main track)
Keywords: Degradation Vanishing;Prompting Learning;Image Restoration
Decision: Poster
Title: Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts
Authors: Gleb Bazhenov, Denis Kuznedelev, Andrey Malinin, Artem Babenko, Liudmila Prokhorenkova
Affiliations: Yandex Research, HSE University; Yandex Research; HSE University, Yandex Research; Isomorphic Labs; Yandex Research, Skoltech
Conference: nips 2023 (main track)
Keywords: graph;distributional shift;structural shift;uncertainty;robustness;graph neural networks
Decision: Poster
Title: A Framework for Fast and Stable Representations of Multiparameter Persistent Homology Decompositions
Authors: David Loiseaux, Mathieu Carrière, Andrew Blumberg
Affiliations: DataShape, Centre Inria d’Université Côte d’Azur, Biot, France; Irving Institute for Cancer Dynamics, Columbia University, New-York, NY, USA
Conference: nips 2023 (main track)
Keywords: Topological Data Analysis;Multiparameter Persistent Homology;Kernel Methods;Convergence Rate;Statistical Learning
Decision: Poster
Title: Provably Efficient Algorithm for Nonstationary Low-Rank MDPs
Authors: Yuan Cheng, Jing Yang, Yingbin Liang
Affiliations: The Ohio State University; National University of Singapore; The Pennsylvania State University
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Nonstationary Environment;Representation Learning;Policy Optimization;Statistical Complexity
Decision: Poster
Title: GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks
Authors: Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang
Affiliations: University of Hong Kong; South China University of Technology, University of Hong Kong; South China University of Technology, PAZHOU LAB, Guangdong Key Lab of Communication and Computer Network
Conference: nips 2023 (main track)
Keywords: Spatial Temporal Prediction;Deep Neural Networks;Pre-training Model
Decision: Poster
Title: Memory Efficient Optimizers with 4-bit States
Authors: Bingrui Li, Jianfei Chen, Jun Zhu
Affiliations: Dept. of Comp. Sci. and Tech., Institute for AI, BNRist Center, THBI Lab, Tsinghua-Bosch Joint ML Center, Tsinghua University
Conference: nips 2023 (main track)
Keywords: memory efficiency;optimizer;Adam;quantization
Decision: Spotlight
Title: Eliminating Domain Bias for Federated Learning in Representation Space
Authors: Jianqing Zhang, Yang Hua, Jian Cao, Hao Wang, Tao Song, Zhengui XUE, Ruhui Ma, Haibing Guan
Affiliations: Louisiana State University; Shanghai Jiao Tong University; Queen’s University Belfast
Conference: nips 2023 (main track)
Keywords: Federated Learning;Personalized Federated Learning;Representation;Knowledge Transfer
Decision: Poster
Title: Multiclass Boosting: Simple and Intuitive Weak Learning Criteria
Authors: Nataly Brukhim, Amit Daniely, Yishay Mansour, Shay Moran
Affiliations: Faculty of Mathematics, Faculty of Computer Science, Faculty of Data and Decision Sciences, Technion, Google Research; Department of Computer Science, Hebrew University, Google Research; Department of Computer Science, Tel Aviv University, Google Research; Department of Computer Science, Princeton University
Conference: nips 2023 (main track)
Keywords: Boosting;Multiclass classification;PAC Learning;List PAC Learning
Decision: Poster
Title: Differentiable Clustering with Perturbed Spanning Forests
Authors: Lawrence Stewart, Francis Bach, Felipe Llinares-Lopez, Quentin Berthet
Affiliations: ENS & INRIA, Paris, France; Google DeepMind, Paris, France
Conference: nips 2023 (main track)
Keywords: Structured learning;Clustering;Differentiable;weakly supervised;semi-supervised;representation learning
Decision: Poster
Title: Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction
Authors: Souhaib Attaiki, Maks Ovsjanikov
Affiliations: LIX, École Polytechnique, IP Paris
Conference: nips 2023 (main track)
Keywords: shape matching
Decision: Poster
Title: RegBN: Batch Normalization of Multimodal Data with Regularization
Authors: Morteza Ghahremani Boozandani, Christian Wachinger
Affiliations: Lab for AI in Medical Imaging (AI-Med), Department of Radiology, Technical University of Munich (TUM), Germany; Munich Center for Machine Learning (MCML), Germany
Conference: nips 2023 (main track)
Keywords: Multimodal Data;Multimodality;Batch Normalization;Heterogeneous data;Regularization;Confounder;Confounding Effect Removal;Data Dependency
Decision: Poster
Title: FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning
Authors: Jinyuan Jia, Zhuowen Yuan, Dinuka Sahabandu, Luyao Niu, Arezoo Rajabi, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran
Affiliations: Western Washington University; University of Washington; UIUC; The Pennsylvania State University
Conference: nips 2023 (main track)
Keywords: backdoor defense;federated learning;game theory
Decision: Poster
Title: Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices
Authors: Kilian Pfeiffer, Ramin Khalili, Joerg Henkel
Affiliations: Karlsruhe Institute of Technology, Karlsruhe, Germany; Huawei Research Center Munich, Munich, Germany
Conference: nips 2023 (main track)
Keywords: Federated Learning;Memory;Resource Constraints
Decision: Poster
Title: Regret Matching+: (In)Stability and Fast Convergence in Games
Authors: Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-Wei Lee, Haipeng Luo
Affiliations: IEOR, Columbia University; MIT; Department of Computer Science, University of Southern California; ISOM, HEC Paris
Conference: nips 2023 (main track)
Keywords: Regret Matching;Predictive algorithms;Extensive-Form Games
Decision: Spotlight
Title: Generating Behaviorally Diverse Policies with Latent Diffusion Models
Authors: Shashank Hegde, Sumeet Batra, K.R. Zentner, Gaurav Sukhatme
Affiliations: University of Southern California
Conference: nips 2023 (main track)
Keywords: Latent Diffusion;Quality Diversity;Reinforcement Learning;Graph Neural Networks
Decision: Poster