hunoutl/paperlists huggingface dataset:
Title: Prediction and Control in Continual Reinforcement Learning
Authors: Nishanth Anand, Doina Precup
Affiliations: School of Computer Science, McGill University, Mila, and Deepmind; School of Computer Science, McGill University and Mila
Conference: nips 2023 (main track)
Keywords: reinforcement learning;continual reinforcement learning;lifelong learning;never-ending learning;prediction;control;multi-task learning;complementary learning systems
Decision: Poster
Title: Layer-Neighbor Sampling --- Defusing Neighborhood Explosion in GNNs
Authors: Muhammed Fatih Balin, Ümit Çatalyürek
Affiliations: Amazon Web Services; School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Conference: nips 2023 (main track)
Keywords: Graph Neural Networks;Graph Sampling;GNN;Layer Sampling;Minibatch Training
Decision: Poster
Title: Wasserstein distributional robustness of neural networks
Authors: Xingjian Bai, Guangyi He, Yifan Jiang, Jan Obloj
Affiliations: Mathematical Institute, University of Oxford, UK; Department of Computer Science, University of Oxford, UK
Conference: nips 2023 (main track)
Keywords: adversarial attack;adversarial robustness of DNN;adversarial training;Wasserstein distance;distributionally robust optimization;sensitivity analysis;asymptotic bounds
Decision: Poster
Title: Demystifying Oversmoothing in Attention-Based Graph Neural Networks
Authors: Xinyi Wu, Amir Ajorlou, Zihui Wu, Ali Jadbabaie
Affiliations: Department of Computing and Mathematical Sciences (CMS), Caltech; Institute for Data, Systems and Society (IDSS), MIT; Laboratory for Information and Decision Systems (LIDS), MIT
Conference: nips 2023 (main track)
Keywords: graph neural networks;attention mechanisms;oversmoothing;dynamical systems;theory
Decision: Spotlight
Title: Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms
Authors: Dheeraj Baby, Saurabh Garg, Tzu-Ching Yen, Sivaraman Balakrishnan, Zachary Lipton, Yu-Xiang Wang
Affiliations: Carnegie Mellon University; UC Santa Barbara
Conference: nips 2023 (main track)
Keywords: online learning;label shift;distribution shift;unsupervised domain adaptation
Decision: Spotlight
Title: Transferable Adversarial Robustness for Categorical Data via Universal Robust Embeddings
Authors: Klim Kireev, Maksym Andriushchenko, Carmela Troncoso, Nicolas Flammarion
Affiliations: EPFL
Conference: nips 2023 (main track)
Keywords: Tabular data;Categorical data;Robust ML;Adversarial Robustness
Decision: Poster
Title: An Information Theory Perspective on Variance-Invariance-Covariance Regularization
Authors: Ravid Shwartz-Ziv, Randall Balestriero, Kenji Kawaguchi, Tim G. J. Rudner, Yann LeCun
Affiliations: New York University; National University of Singapore; New York University & Meta AI, FAIR; Meta AI, FAIR
Conference: nips 2023 (main track)
Keywords: Self-Supervised Learning;Generalization Bounds;Information-Theory;Deep Neural Networks
Decision: Poster
Title: Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems
Authors: Tongtong Fang, Nan Lu, Gang Niu, Masashi Sugiyama
Affiliations: The University of Tokyo, Japan; RIKEN, Japan; University of Tübingen, Germany
Conference: nips 2023 (main track)
Keywords: importance weighting;distribution shift;deep learning
Decision: Spotlight
Title: The Drunkard’s Odometry: Estimating Camera Motion in Deforming Scenes
Authors: David Recasens Lafuente, Martin R. Oswald, Marc Pollefeys, Javier Civera
Affiliations: University of Zaragoza; ETH Zurich, Microsoft; ETH Zurich, University of Amsterdam
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: odometry;non-rigid dataset;RGB-D tracking;endoscopy
Decision: Poster
Title: Disentangling Voice and Content with Self-Supervision for Speaker Recognition
Authors: TIANCHI LIU, Kong Aik Lee, Qiongqiong Wang, Haizhou Li
Affiliations: School of Data Science, The Chinese University of Hong Kong, Shenzhen, China; Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A⋆STAR), Singapore; Dept. of Electrical and Electronic Engineering, Hong Kong Polytechnic University, Hong Kong
Conference: nips 2023 (main track)
Keywords: speaker recognition;disentanglement learning;self-supervision
Decision: Poster
Title: StyleDrop: Text-to-Image Synthesis of Any Style
Authors: Kihyuk Sohn, Lu Jiang, Lu Jiang, Jarred Barber, Kimin Lee, Nataniel Ruiz, Dilip Krishnan, Huiwen Chang, Yuanzhen Li, Irfan Essa, Michael Rubinstein, Yuan Hao, Glenn Entis, Irina Blok, Daniel Castro Chin
Affiliations: Now at Korea Advanced Institute of Science and Technology (KAIST); Now at OpenAI; Google Research
Conference: nips 2023 (main track)
Keywords: text-to-image synthesis;fine-tuning;stylization
Decision: Poster
Title: Circuit as Set of Points
Authors: Jialv Zou, Xinggang Wang, Jiahao Guo, Wenyu Liu, Qian Zhang, Chang Huang
Affiliations: Horizon Robotics; School of EIC, Huazhong University of Science and Technology
Conference: nips 2023 (main track)
Keywords: EDA;Circuit Design;Congestion prediction;DRC violation prediction
Decision: Poster
Title: IDRNet: Intervention-Driven Relation Network for Semantic Segmentation
Authors: Zhenchao Jin, Xiaowei Hu, Lingting Zhu, Luchuan Song, Li Yuan, Lequan Yu
Affiliations: The University of Hong Kong; Shanghai AI Laboratory; University of Rochester; Peking University
Conference: nips 2023 (main track)
Keywords: semantic segmentation;relation modeling;object detection
Decision: Poster
Title: Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents
Authors: Zihao Wang, Shaofei Cai, Guanzhou Chen, Anji Liu, Xiaojian (Shawn) Ma, Yitao Liang
Conference: nips 2023 (main track)
Keywords: open-ended learning;multi task;large language models;zero-shot planning
Decision: Poster
Title: Tester-Learners for Halfspaces: Universal Algorithms
Authors: Aravind Gollakota, Adam Klivans, Konstantinos Stavropoulos, Arsen Vasilyan
Affiliations: MIT; Apple; UT Austin
Conference: nips 2023 (main track)
Keywords: testable learning;pac learning;agnostic learning;Massart label noise;adversarial label noise;distribution testing
Decision: Oral
Title: Consensus and Subjectivity of Skin Tone Annotation for ML Fairness
Authors: Candice Schumann, Femi Olanubi, Auriel Wright, Ellis Monk, Courtney Heldreth, Susanna Ricco
Affiliations: Harvard University∗, United States; Google, United States
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Fairness;Skin Tone;MST;Annotation;Dataset
Decision: Poster
Title: Latent Field Discovery in Interacting Dynamical Systems with Neural Fields
Authors: Miltiadis (Miltos) Kofinas, Erik Bekkers, Naveen Nagaraja, Efstratios Gavves
Affiliations: University of Amsterdam; BMW Group
Conference: nips 2023 (main track)
Keywords: Graph Neural Networks;Neural Fields;Field Discovery;Equivariance;Interacting Dynamical Systems;Geometric Graphs
Decision: Poster
Title: GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients
Authors: Sima Behpour, Thang Long Doan, Xin Li, Wenbin He, Liang Gou, Liu Ren
Affiliations: Bosch Research North America, Bosch Center for Artificial Intelligence (BCAI)
Conference: nips 2023 (main track)
Keywords: out-of-distribution detection;OOD;uncertainty estimation;gradient projection
Decision: Poster
Title: Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models
Authors: Siu Lun Chau, Krikamol Muandet, Dino Sejdinovic
Affiliations: School of Computer and Mathematical Sciences, University of Adelaide, Adelaide, South Australia, 5005 Australia; CISPA, Helmholtz Center for Information Security, 66123 Saarbrücken, Germany
Conference: nips 2023 (main track)
Keywords: Gaussian Processes;Shapley values;Uncertainty Modelling
Decision: Spotlight
Title: Trial matching: capturing variability with data-constrained spiking neural networks
Authors: Christos Sourmpis, Carl Petersen, Wulfram Gerstner, Guillaume Bellec
Affiliations: Brain Mind Institute, School of Computer and Communication Sciences and School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland
Conference: nips 2023 (main track)
Keywords: neuroscience;spiking networks;data-constrained modeling;electrophysiological recordings;optimal transport;trial variability;RNN;interpretable machine learning
Decision: Poster
Title: Normalization-Equivariant Neural Networks with Application to Image Denoising
Authors: Sébastien Herbreteau, Emmanuel Moebel, Charles Kervrann
Affiliations: Centre Inria de l’Université de Rennes, France
Conference: nips 2023 (main track)
Keywords: equivariance;normalization;image denoising;activation functions;ReLU;interpretability;robustness;deep learning;analysis of neural networks
Decision: Poster
Title: Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
Authors: Mahyar Fazlyab, Taha Entesari, Aniket Roy, Rama Chellappa
Affiliations: Department of Electrical and Computer Engineering, Johns Hopkins University
Conference: nips 2023 (main track)
Keywords: Deep Learning;Adversarial Robustness;Certified Radius;Lipschitz Constants
Decision: Poster
Title: Degraded Polygons Raise Fundamental Questions of Neural Network Perception
Authors: Leonard Tang, Dan Ley
Affiliations: School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02134; Department of Mathematics, Harvard University, Cambridge, MA 02138
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Geometry;Cognitive Science;Psychology;Vision;Robustness;Safety
Decision: Poster
Title: Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition
Authors: Sara Pieri, Jose Restom, Samuel Horváth, Hisham Cholakkal
Affiliations: Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI)
Conference: nips 2023 (main track)
Keywords: Computer Vision;Federated Learning;Image Classification;Neural Network Architectures;Transformer;CNN;Data Hetereogenity;non-IID
Decision: Poster
Title: Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes
Authors: Zheng Wang, Shikai Fang, Shibo Li, Shandian Zhe
Affiliations: Kahlert School of Computing, University of Utah, Salt Lake City, UT 84112
Conference: nips 2023 (main track)
Keywords: Tensor Decomposition;Representation Learning
Decision: Spotlight
Title: Variational Weighting for Kernel Density Ratios
Authors: Sangwoong Yoon, Frank Park, Gunsu YUN, Iljung Kim, Yung-Kyun Noh
Affiliations: Korea Institute for Advanced Study; POSTECH; Seoul National University / Saige Research; Hanyang University / Korea Institute for Advanced Study; Hanyang University
Conference: nips 2023 (main track)
Keywords: Kernel Density Estimation;KL-divergence;Density Ratio
Decision: Poster
Title: RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
Affiliations: Korea Advanced Institute of Science and Technology (KAIST); Korea Advanced Institute of Science and Technology (KAIST), OMELET
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Benchmark;Reinforcement Learning;Neural Combinatorial Optimization;Combinatorial Optimization;TSP;CVRP
Decision: Reject
Title: Three Towers: Flexible Contrastive Learning with Pretrained Image Models
Authors: Jannik Kossen, Mark Collier, Basil Mustafa, Xiao Wang, Xiaohua Zhai, Lucas Beyer, Andreas Steiner, Andreas Steiner, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou
Affiliations: Google DeepMind; Google Research; OATML, Department of Computer Science, University of Oxford
Conference: nips 2023 (main track)
Keywords: three towers;contrastive learning;transformers;vision transformers;pretrained models;representation learning;finetuning;CLIP;ALIGN;classification;zero-shot;few-shot;retrieval
Decision: Poster
Title: Sample Efficient Reinforcement Learning in Mixed Systems through Augmented Samples and Its Applications to Queueing Networks
Authors: Honghao Wei, Honghao Wei, Xin Liu, Weina Wang, Lei Ying
Affiliations: University of Michigan, Ann Arbor; Carnegie Mellon University; Washington State University; ShanghaiTech University
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Mixed Systems;Queueing Network;Sample Efficient
Decision: Spotlight
Title: Feature-Learning Networks Are Consistent Across Widths At Realistic Scales
Authors: Nikhil Vyas, Alexander Atanasov, Blake Bordelon, Depen Morwani, Sabarish Sainathan, Cengiz Pehlevan
Affiliations: Center for Brain Science, Harvard University; Kempner Institute, Harvard University; Department of Physics, Harvard University; SEAS, Harvard University
Conference: nips 2023 (main track)
Keywords: mean-field;muP;feature learning;infinite width;deep ensembles
Decision: Poster
Title: Learning Visual Prior via Generative Pre-Training
Authors: Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng, Linlin Shen, Mike Zheng Shou
Affiliations: Shenzhen University; Jarvis Research Center, Tencent YouTu Lab; Show Lab, National University of Singapore
Conference: nips 2023 (main track)
Keywords: Visual Prior;Generative Pre-Training;Conditional Image Synthesis
Decision: Poster
Title: Stochastic Optimal Control for Collective Variable Free Sampling of Molecular Transition Paths
Authors: Lars Holdijk, Yuanqi Du, Ferry Hooft, Priyank Jaini, Berend Ensing, Max Welling
Affiliations: AI4Science Lab, Computational Chemistry Group, University of Amsterdam; AMLab, University of Amsterdam; University of Oxford; Computational Chemistry Group, University of Amsterdam; Google DeepMind
Conference: nips 2023 (main track)
Keywords: Transition Path Sampling;Stochastic Optimal Control
Decision: Poster
Title: Exploring Question Decomposition for Zero-Shot VQA
Authors: Zaid Khan, Vijay Kumar B G, Samuel Schulter, Manmohan Chandraker, Yun Fu
Affiliations: Northeastern University; NEC Laboratories America; NEC Laboratories America, UC San Diego
Conference: nips 2023 (main track)
Keywords: visual question answering;in-context learning;vision-language
Decision: Poster
Title: Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels
Authors: Zebin You, Yong Zhong, Fan Bao, Jiacheng Sun, Chongxuan LI, Jun Zhu
Affiliations: Huawei Noah’s Ark Lab; Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China; Dept. of Comp. Sci. & Tech., BNRist Center, THU-Bosch ML Center, Tsinghua University
Conference: nips 2023 (main track)
Keywords: diffusion models;semi-supervised generation;semi-supervised diffusion models;semi-supervised classification;image generation.
Decision: Spotlight
Title: High-dimensional Contextual Bandit Problem without Sparsity
Authors: Junpei Komiyama, Masaaki Imaizumi
Affiliations: New York University; The University of Tokyo / RIKEN Center for AIP
Conference: nips 2023 (main track)
Keywords: multi-armed bandits;linear bandits;contextual bandits;overparameterized models;high-dimensional models;online learning
Decision: Poster
Title: Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality Fusion
Authors: Yang Liu, Feng Wang, Naiyan Wang, ZHAO-XIANG ZHANG
Affiliations: CASIA; TuSimple; MAIS of CASIA & UCAS, HKISI_CAS
Conference: nips 2023 (main track)
Keywords: 4D Radar; Transformer; Multi-modality
Decision: Poster
Title: DataPerf: Benchmarks for Data-Centric AI Development
Authors: Mark Mazumder, Colby Banbury, Xiaozhe Yao, Bojan Karlaš, William Gaviria Rojas, Sudnya Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Raje, Max Bartolo, Evan Sabri Eyuboglu, Amirata Ghorbani, Emmett Goodman, Addison Howard, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, D. Sculley, Tzu-Sheng Kuo, Jonas Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen Paritosh, Ce Zhang, James Zou, Carole-Jean Wu, Cody Coleman, Andrew Ng, Peter Mattson, Vijay Janapa Reddi
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: datasets;datacentric;vision;speech;acquisition;debugging;prompting
Decision: Poster
Title: ODE-based Recurrent Model-free Reinforcement Learning for POMDPs
Authors: Xuanle Zhao, Duzhen Zhang, Han Liyuan, Tielin Zhang, Bo Xu
Affiliations: Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China; Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China; Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
Conference: nips 2023 (main track)
Keywords: neural ode;POMDPs;reinforcement learning
Decision: Poster
Title: FLAIR : a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery
Authors: Anatol Garioud, Nicolas Gonthier, Loic Landrieu, Apolline De Wit, Marion Valette, Marc Poupée, Sebastien Giordano, boris Wattrelos
Affiliations: French National Institute of Geographical and Forest Information (IGN); National School of Geographic Sciences (ENSG); Univ Gustave Eiffel, IGN, ENSG, LASTIG
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Semantic segmentation;Satellite time series;Aerial imagery;Land cover;Geospatial Data;Multimodal learning
Decision: Poster
Title: On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes
Authors: Jia Lin Hau, Erick Delage, Mohammad Ghavamzadeh, Marek Petrik
Affiliations: University of New Hampshire, Durham, NH; HEC Montréal, Montréal (Québec); Amazon, Palo Alto, CA
Conference: nips 2023 (main track)
Keywords: reinforcement learning;markov decision processes;monetary risk measures
Decision: Poster
Title: Deep Stochastic Processes via Functional Markov Transition Operators
Authors: Jin Xu, Emilien Dupont, Kaspar Märtens, Thomas Rainforth, Yee Whye Teh
Affiliations: Department of Statistics, University of Oxford, UK.; Department of Statistics, University of Oxford, UK. (Also at Google DeepMind); Big Data Institute, University of Oxford, UK.; Department of Statistics, University of Oxford, UK. (Now at Google DeepMind)
Conference: nips 2023 (main track)
Keywords: Neural Processes;Bayesian Nonparammetric Models
Decision: Poster
Title: AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation
Authors: Daiki E. Matsunaga, Jongmin Lee, Jaeseok Yoon, Stefanos Leonardos, Pieter Abbeel, Kee-Eung Kim
Affiliations: King’s College London; KAIST; UC Berkeley
Conference: nips 2023 (main track)
Keywords: Offline Reinforcement Learning;Multi-Agent Reinforcement Learning
Decision: Poster
Title: CS-Isolate: Extracting Hard Confident Examples by Content and Style Isolation
Authors: Yexiong Lin, Yu Yao, Xiaolong Shi, Mingming Gong, Xu Shen, Dong Xu, Tongliang Liu
Affiliations: The University of Hong Kong; The University of Melbourne; The University of Sydney; Alibaba DAMO Academy; Mohamed bin Zayed University of Artificial Intelligence
Conference: nips 2023 (main track)
Keywords: learning with label errors
Decision: Poster
Title: Non-autoregressive Machine Translation with Probabilistic Context-free Grammar
Authors: Shangtong Gui, Chenze Shao, Zhengrui Ma, xishan zhang, Yunji Chen, Yang Feng
Affiliations: University of Chinese Academy of Sciences; Cambricon Technologies; Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences; State Key Lab of Processors, Institute of Computing Technology, Chinese Academy of Sciences
Conference: nips 2023 (main track)
Keywords: Machine translation;Non-autoregressive generation;Probabilistic Context-free Grammar
Decision: Poster
Title: Individualized Dosing Dynamics via Neural Eigen Decomposition
Authors: Stav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor
Affiliations: Department of Electrical and Computer Engineering, Technion—Israel Institute of Technology, Haifa, Israel; Department of Physiology and Biophysics, Faculty of Medicine, Technion—Israel Institute of Technology, Haifa, Israel; Department of Electrical and Computer Engineering, Technion—Israel Institute of Technology, Haifa, Israel; Nvidia Research
Conference: nips 2023 (main track)
Keywords: personalized medicine;dosing dynamics;sequential prediction;stochastic differential equations;Kalman filter;recurrent neural networks;medical drug control
Decision: Poster
Title: Flow Factorized Representation Learning
Authors: Yue Song, Andy Keller, Nicu Sebe, Max Welling
Affiliations: UvA-Bosch Delta Lab, University of Amsterdam, the Netherlands; Amsterdam Machine Learning Lab, University of Amsterdam, the Netherlands; Department of Information Engineering and Computer Science, University of Trento, Italy
Conference: nips 2023 (main track)
Keywords: Generative modelling;latent disentanglement;variational autoencoders
Decision: Poster
Title: Compositional Generalization from First Principles
Authors: Thaddäus Wiedemer, Prasanna Mayilvahanan, Matthias Bethge, Wieland Brendel
Affiliations: University of Tübingen, Tübingen AI Center; Tübingen AI Center, Max-Planck-Institute for Intelligent Systems, Tübingen; University of Tübingen, Tübingen AI Center, Max-Planck-Institute for Intelligent Systems, Tübingen
Conference: nips 2023 (main track)
Keywords: compositional generalization;compositionality;generalization;combinatorial generalization;out-of-distribution;out-of-domain;identifiability;disentanglement;object-centric learning;DSprites
Decision: Poster
Title: StEik: Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape Representation
Authors: Huizong Yang, Yuxin Sun, Ganesh Sundaramoorthi, Anthony Yezzi
Affiliations: Georgia Institute of Technology; Raytheon Technologies
Conference: nips 2023 (main track)
Keywords: Implicit Neural Representation;Surface Reconstruction
Decision: Poster
Title: Prompt-augmented Temporal Point Process for Streaming Event Sequence
Authors: Siqiao Xue, Yan Wang, Zhixuan Chu, Xiaoming Shi, Caigao JIANG, Hongyan Hao, Gangwei Jiang, Xiaoyun Feng, James Zhang, Jun Zhou
Affiliations: Ant Group, Hangzhou, China
Conference: nips 2023 (main track)
Keywords: prompt;point process;event sequence;continual learning.
Decision: Poster
Title: Sharp Spectral Rates for Koopman Operator Learning
Authors: Vladimir Kostic, Karim Lounici, Pietro Novelli, Massimiliano Pontil
Affiliations: Istituto Italiano di Tecnologia; CMAP-Ecole Polytechnique; Istituto Italiano di Tecnologia, University of Novi Sad; Istituto Italiano di Tecnologia, University College London
Conference: nips 2023 (main track)
Keywords: Statistical Learning Theory;Dynamical Systems
Decision: Spotlight
Title: CHAMMI: A benchmark for channel-adaptive models in microscopy imaging
Authors: Zitong Sam Chen, Chau Pham, Siqi Wang, Michael Doron, Nikita Moshkov, Bryan Plummer, Juan C. Caicedo
Affiliations: Boston University, Boston, MA; Broad Institute, Cambridge, MA; Univ. of Wisconsin-Madison, Madison, WI; Biological Research Centre, Szeged, Hungary
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Deep Learning;Transfer Learning;Bioinformatics and Systems Biology;Computer Vision;Benchmarks
Decision: Poster
Title: Diffused Redundancy in Pre-trained Representations
Authors: Vedant Nanda, Till Speicher, John Dickerson, Krishna Gummadi, Soheil Feizi, Adrian Weller
Affiliations: University of Maryland & MPI-SWS; MPI-SWS; The Alan Turing Institute & University of Cambridge; University of Maryland
Conference: nips 2023 (main track)
Keywords: representation learning;redundancy;transfer learning;fairness
Decision: Poster
Title: Transformers learn to implement preconditioned gradient descent for in-context learning
Authors: Kwangjun Ahn, Xiang Cheng, Hadi Daneshmand, Suvrit Sra
Affiliations: MIT LIDS/FODSI; MIT LIDS; MIT EECS/LIDS; TU Munich / MIT
Conference: nips 2023 (main track)
Keywords: Transformers;In-context learning;adaptive gradient methods
Decision: Poster