hunoutl/paperlists huggingface dataset:
Title: PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds
Authors: Hao Yang, Haiyang Wang, Di Dai, Liwei Wang
Affiliations: Center for Data Science, Peking University; Center for Data Science, Peking University; National Key Laboratory of General Artiﬁcial Intelligence, School of Intelligence Science and Technology, Peking University; Center for Data Science, Peking University; Pazhou Lab; National Key Laboratory of General Artiﬁcial Intelligence, School of Intelligence Science and Technology, Peking University
Conference: nips 2023 (main track)
Keywords: Pre-Train;Autonomous Driving;LiDAR;3D Object Detection
Decision: Poster
Title: Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies
Authors: Hanna Ziesche, Leonel Rozo
Affiliations: Bosch Center for Artificial Intelligence (BCAI), Renningen, Germany
Conference: nips 2023 (main track)
Keywords: Policy optimization;robot learning;reinforcement learning;Gaussian mixture models;optimal transport;robotics
Decision: Poster
Title: OceanBench: The Sea Surface Height Edition
Authors: J. Emmanuel Johnson, Quentin Febvre, Anastasiia Gorbunova, Sam Metref, Maxime Ballarotta, Julien Le Sommer, ronan fablet
Affiliations: IMT Atlantique; CLS; DATLAS; CNRS UMR IGE; CNRS UMR IGES
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Sea Surface Height;Ocean Satellite Data;Geoprocessing Pipeline;Interpolation;Inverse Problems
Decision: Poster
Title: On the impact of activation and normalization in obtaining isometric embeddings at initialization
Authors: Amir Joudaki, Hadi Daneshmand, Francis Bach
Affiliations: MIT/LIDS-FODSI; ETH Zurich; INRIA-ENS-PSL Paris
Conference: nips 2023 (main track)
Keywords: dynamical isometry;Lyapunov analysis;random neural networks
Decision: Poster
Title: Swarm Reinforcement Learning for Adaptive Mesh Refinement
Authors: Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Simon Reisch, Luise Kärger, Gerhard Neumann
Affiliations: Institute of Vehicle Systems Technology, Karlsruhe Institute of Technology, Karlsruhe; Autonomous Learning Robots, Karlsruhe Institute of Technology, Karlsruhe
Conference: nips 2023 (main track)
Keywords: Adaptive Mesh Refinement;Finite Element Method;Swarm Reinforcement Learning;Graph Neural Networks
Decision: Poster
Title: Why think step by step? Reasoning emerges from the locality of experience
Authors: Ben Prystawski, Michael Li, Noah Goodman
Affiliations: Department of Computer Science, Stanford University, Stanford, CA 94305; Department of Psychology, Stanford University, Stanford, CA 94305; Departments of Psychology and Computer Science, Stanford University, Stanford, CA 94305
Conference: nips 2023 (main track)
Keywords: chain-of-thought; language models; reasoning
Decision: Oral
Title: Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies
Authors: Wei Fang, Zhaofei Yu, Zhaokun Zhou, Ding Chen, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian
Conference: nips 2023 (main track)
Keywords: Spiking Neural Network;SNN;deep learning;spiking neuron;neuromorphic computing
Decision: Poster
Title: DreamHuman: Animatable 3D Avatars from Text
Authors: Nikos Kolotouros, Thiemo Alldieck, Andrei Zanfir, Eduard Bazavan, Mihai Fieraru, Cristian Sminchisescu
Affiliations: Google Research
Conference: nips 2023 (main track)
Keywords: text to 3d; 3d avatars
Decision: Spotlight
Title: Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks
Authors: Andong Wang, Chao Li, Mingyuan Bai, Zhong Jin, Guoxu Zhou, Qibin Zhao
Affiliations: China University of Petroleum-Beijing at Karamay; RIKEN AIP; Guangdong University of Technology
Conference: nips 2023 (main track)
Keywords: Tensor SVD; Tensor Neural Networks; Transformed Low-rankness; Adversarial Generalization; Implicit Bias.
Decision: Poster
Title: False Discovery Proportion control for aggregated Knockoffs
Authors: Icecream PDF Split&Merge
Affiliations: Institut de Mathématiques de Toulouse, Université de Toulouse; INRIA, CEA; INRIA, Université Paris-Saclay; INRIA
Conference: nips 2023 (main track)
Keywords: Knockoffs;Derandomization of Knockoffs;False Discoveries Proportion control;Controlled variable selection;Statistical inference;High-dimensional inference
Decision: Poster
Title: Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off
Authors: Zichen (Vincent) Zhang, Johannes Kirschner, Junxi Zhang, Francesco Zanini, Alex Ayoub, Masood Dehghan, Dale Schuurmans
Affiliations: University of Alberta
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Policy Evaluation;Temporal Discretization;Continuous Time;LQR
Decision: Poster
Title: On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long Sequences
Authors: Alireza F. Pour, Hassan Ashtiani
Affiliations: Department of Computing and Software, McMaster University; Cheriton School of Computer Science, University of Waterloo
Conference: nips 2023 (main track)
Keywords: PAC Learning;Recurrent Neural Networks;Noise;Sample Complexity
Decision: Poster
Title: PointGPT: Auto-regressively Generative Pre-training from Point Clouds
Authors: Guangyan Chen, Meiling Wang, Yi Yang, Kai Yu, Li Yuan, Yufeng Yue
Affiliations: Peking University; Beijing Institute of Technology
Conference: nips 2023 (main track)
Keywords: Generative Pre-training Transformer; GPT; Auto-regressively Generative Pre-training; Self-supervised Learning; Point clouds
Decision: Poster
Title: DäRF: Boosting Radiance Fields from Sparse Input Views with Monocular Depth Adaptation
Authors: Jiuhn Song, Seonghoon Park, Honggyu An, Seokju Cho, Min-Seop Kwak, Sungjin Cho, Seungryong Kim
Affiliations: Korea University
Conference: nips 2023 (main track)
Keywords: Neural Radiance Fields;3D Reconstruction;Few-shot NeRF;Monocular Priors
Decision: Poster
Title: Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors
Authors: Paul Scotti, Atmadeep Banerjee, Jimmie Goode, Stepan Shabalin, Alex Nguyen, ethan cohen, Aidan Dempster, Nathalie Verlinde, Elad Yundler, David Weisberg, Kenneth Norman, Tanishq Abraham
Affiliations: Hebrew University of Jerusalem; Princeton Neuroscience Institute; Medical AI Research Center (MedARC); University of Toronto; Ecole Normale Supérieure, PSL University
Conference: nips 2023 (main track)
Keywords: fMRI;computational neuroscience;mind reading;diffusion models
Decision: Spotlight
Title: Matrix Compression via Randomized Low Rank and Low Precision Factorization
Authors: Rajarshi Saha, Varun Srivastava, Mert Pilanci
Affiliations: Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA
Conference: nips 2023 (main track)
Keywords: Matrix compression;Randomized low rank factorization;Randomized SVD;Sketching;Quantized embeddings;Random matrices
Decision: Poster
Title: EgoEnv: Human-centric environment representations from egocentric video
Authors: Tushar Nagarajan, Santhosh Kumar Ramakrishnan, Ruta Desai, James Hillis, Kristen Grauman
Affiliations: University of Texas at Austin; FAIR, Meta; University of Texas at Austin, FAIR, Meta
Conference: nips 2023 (main track)
Keywords: egocentric video;3D environment;sim2real;sim-to-real;episodic memory
Decision: Oral
Title: GALOPA: Graph Transport Learning with Optimal Plan Alignment
Authors: Yejiang Wang, Yuhai Zhao, Daniel Zhengkui Wang, Ling Li
Affiliations: School of Computer Science and Engineering, Northeastern University, China; Key Laboratory of Intelligent Computing in Medical Image of Ministry of Education, Northeastern University, China; InfoComm Technology Cluster, Singapore Institute of Technology, Singapore
Conference: nips 2023 (main track)
Keywords: graph neural network; self-supervised learning; optimal transport;
Decision: Poster
Title: Focused Transformer: Contrastive Training for Context Scaling
Authors: Szymon Tworkowski, Konrad Staniszewski, Mikołaj Pacek, Yuhuai Wu, Henryk Michalewski, Piotr Miłoś
Affiliations: IDEAS NCBR, Institute of Mathematics, Polish Academy of Sciences, deepsense.ai; xAI, Work done while at Google Research; University of Warsaw, Google DeepMind; IDEAS NCBR, University of Warsaw
Conference: nips 2023 (main track)
Keywords: Transformers;Language Models;Natural Language Processing
Decision: Poster
Title: On Certified Generalization in Structured Prediction
Authors: Bastian Boll, Christoph Schnörr
Affiliations: Image & Pattern Analysis Group, Heidelberg University
Conference: nips 2023 (main track)
Keywords: Structured Prediction;PAC-Bayes;Concentration Inequalities;Statistical Learning Theory;Knothe-Rosenblatt Rearrangement
Decision: Poster
Title: NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications
Authors: Robert Lange, Yujin Tang, Yingtao Tian
Affiliations: Technical University Berlin, Science of Intelligence Cluster of Excellence; Google DeepMind
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Evolution;Evolution Strategies;Evolutionary Optimization;Benchmark;Neuroevolution;Black-Box Optimization
Decision: Poster
Title: RH-BrainFS: Regional Heterogeneous Multimodal Brain Networks Fusion Strategy
Authors: Hongting Ye, Yalu Zheng, Yueying Li, Ke Zhang, Youyong Kong, Yonggui Yuan
Affiliations: Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, School of Computer Science and Engineering, Southeast University; Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, China; Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University; Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, School of Computer Science and Engineering, Southeast University
Conference: nips 2023 (main track)
Keywords: Multimodal;Neuroscience;Subgraph;Transformer
Decision: Poster
Title: Doubly Robust Augmented Transfer for Meta-Reinforcement Learning
Authors: Yuankun Jiang, Nuowen Kan, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong
Affiliations: Department of Electronic Engineering, Shanghai Jiao Tong University; Department of Computer Science and Engineering, Shanghai Jiao Tong University
Conference: nips 2023 (main track)
Keywords: Meta-reinforcement learning;doubly robust (DR);sample transfer
Decision: Poster
Title: Q-DM: An Efficient Low-bit Quantized Diffusion Model
Authors: Yanjing Li, Sheng Xu, Xianbin Cao, Xiao Sun, Baochang Zhang
Affiliations: Beihang University, Zhongguancun Laboratory, Nanchang Institute of Technology; Shanghai Artificial Intelligence Laboratory; Beihang University
Conference: nips 2023 (main track)
Keywords: network quantization;diffusion model;image synthesize
Decision: Poster
Title: VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning
Authors: Jiayi Guan, Guang Chen, Jiaming Ji, Long Yang, ao zhou, Zhijun Li, changjun jiang
Affiliations: Peking University; Tongji University
Conference: nips 2023 (main track)
Keywords: Offline safe reinforcement learning;Pessimistic conservative estimation;Variational optimization;Reinforcement Learning
Decision: Poster
Title: Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective
Authors: Zihan Luo, Hong Huang, Jianxun Lian, Xiran Song, Xing Xie, Hai Jin
Affiliations: National Engineering Research Center for Big Data Technology and System, Service Computing Technology and Systems Laboratory, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China; Microsoft Research Asia, Beijing, China
Conference: nips 2023 (main track)
Keywords: Cross-links;Debias;Graph Neural Networks;Link Prediction
Decision: Poster
Title: On skip connections and normalisation layers in deep optimisation
Authors: Lachlan MacDonald, Jack Valmadre, Hemanth Saratchandran, Simon Lucey
Affiliations: Australian Institute for Machine Learning, University of Adelaide; Mathematical Institute for Data Science, Johns Hopkins University
Conference: nips 2023 (main track)
Keywords: optimisation;optimization;skip;connection;normalisation;normalization;deep;learning;polyak;lojasiewicz;lipschitz
Decision: Poster
Title: Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series
Authors: Yihe Wang, Yu Han, Haishuai Wang, Xiang Zhang
Affiliations: University of Chinese Academy of Sciences; Zhejiang University; University of North Carolina - Charlotte
Conference: nips 2023 (main track)
Keywords: Deep Learning;Contrastive Learning;Self-supervised Learning;Time Series;Healthcare
Decision: Poster
Title: A Measure-Theoretic Axiomatisation of Causality
Authors: Junhyung Park, Simon Buchholz, Bernhard Schölkopf, Krikamol Muandet
Affiliations: Empirical Inference Department, MPI for Intelligent Systems, 72076 Tübingen, Germany; CISPA, Helmholtz Center for Information Security, 66123 Saarbrücken, Germany
Conference: nips 2023 (main track)
Keywords: Causality;probability theory;causal models
Decision: Oral
Title: Cocktail: Mixing Multi-Modality Control for Text-Conditional Image Generation
Authors: Minghui Hu, Jianbin Zheng, Daqing Liu, Chuanxia Zheng, Chaoyue Wang, Dacheng Tao, Tat-Jen Cham
Affiliations: University of Oxford; JD Explore Academy; The University of Sydney; Nanyang Technological University; South China University of Technology
Conference: nips 2023 (main track)
Keywords: Multi-modality;Image Generation;Diffusion
Decision: Poster
Title: Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning
Authors: Hongyu Zang, Xin Li, Leiji Zhang, Yang Liu, Baigui Sun, Riashat Islam, Riashat Islam, Remi Tachet des Combes, Romain Laroche
Affiliations: McGill University, Mila, Quebec AI Institute, Canada; Wayve, UK; Beijing Institute of Technology, China; Alibaba Group, China
Conference: nips 2023 (main track)
Keywords: Bisimulation metrics;Reinforcement Learning;Representation Learning;Offline RL
Decision: Poster
Title: Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets
Authors: Dinghuai Zhang, Hanjun Dai, Nikolay Malkin, Aaron Courville, Yoshua Bengio, Ling Pan
Affiliations: Google DeepMind; Mila
Conference: nips 2023 (main track)
Keywords: graph; combinatorial optimization; sampling; gflownets
Decision: Spotlight
Title: D-Separation for Causal Self-Explanation
Authors: Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Zhiying Deng, YuanKai Zhang, Yang Qiu
Affiliations: iWudao Tech; School of Computer Science and Technology, Huazhong University of Science and Technology
Conference: nips 2023 (main track)
Keywords: interpretability;causal inference;rationalization;self-explaining
Decision: Poster
Title: Ordering-based Conditions for Global Convergence of Policy Gradient Methods
Authors: Jincheng Mei, Bo Dai, Alekh Agarwal, Mohammad Ghavamzadeh, Csaba Szepesvari, Dale Schuurmans
Affiliations: Google DeepMind; Amazon∗; Google DeepMind, University of Alberta; Google Research
Conference: nips 2023 (main track)
Keywords: reinforcement learning;policy gradient;policy optimization;function approximation;global convergence
Decision: Oral
Title: DISCOVER: Making Vision Networks Interpretable via Competition and Dissection
Authors: Konstantinos Panousis, Sotirios Chatzis
Affiliations: Department of Electrical Eng., Computer Eng., and Informatics, Cyprus University of Technology, Limassol 3036, Cyprus
Conference: nips 2023 (main track)
Keywords: Interpretability;Explainability;Network Dissection;Competitive Networks;Sparsity;Multimodal Models
Decision: Poster
Title: DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing
Authors: Yangtian Zhang, Zuobai Zhang, Bozitao Zhong, Bozitao Zhong, Sanchit Misra, Jian Tang
Affiliations: Mila - Québec AI Institute, Université de Montréal; Mila - Québec AI Institute, HEC Montréal, CIFAR AI Research Chair; Intel
Conference: nips 2023 (main track)
Keywords: protein side-chain packing;diffusion models;autoregressive models;geometric deep learning
Decision: Poster
Title: DreamSparse: Escaping from Plato’s Cave with 2D Diffusion Model Given Sparse Views
Authors: Paul Yoo, Jiaxian Guo, Yutaka Matsuo, Shixiang (Shane) Gu
Affiliations: The University of Tokyo
Conference: nips 2023 (main track)
Keywords: Novel View Synthesis;Diffusion Model
Decision: Poster
Title: Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing
Authors: Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort
Affiliations: Qualcomm AI Research, Amsterdam, The Netherlands
Conference: nips 2023 (main track)
Keywords: transformers;LLM;softmax;attention;outliers;quantization;post-training quantization
Decision: Poster
Title: Unleashing the Full Potential of Product Quantization for Large-Scale Image Retrieval
Authors: Yu Liang, Shiliang Zhang, Li Ken Li, Xiaoyu Wang
Affiliations: National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University; College of Computer Science and Electronic Engineering, Hunan University; The Hong Kong University of Science and Technology(Guangzhou)
Conference: nips 2023 (main track)
Keywords: Deep Hash;Image Retrieval;Product Quantization
Decision: Poster
Title: VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset
Authors: Sihan Chen, Handong Li, Qunbo Wang, Zijia Zhao, Mingzhen Sun, Xinxin Zhu, Jing Liu
Affiliations: Institute of Automation, Chinese Academy of Science; School of Artificial Intelligence, University of Chinese Academy of Sciences
Conference: nips 2023 (main track)
Keywords: Cross-Modality Foundation Model;Cross-Modality Pretraining Dataset
Decision: Poster
Title: Retrieval-Augmented Multiple Instance Learning
Authors: Yufei CUI, Ziquan Liu, Yixin Chen, Yuchen Lu, Xinyue Yu, Xue (Steve) Liu, Tei-Wei Kuo, Miguel Rodrigues, Chun Jason Xue, Chun Jason XUE, Antoni Chan
Affiliations: National Taiwan University; Mila, McGill University; Mila, Université de Montréal; University College London; City University of Hong Kong
Conference: nips 2023 (main track)
Keywords: Multiple Instance Learning;Whole Slide Imaging;Nearest Neighbor Retrieval
Decision: Poster
Title: Data Market Design through Deep Learning
Authors: Sai Srivatsa Ravindranath, Yanchen Jiang, David Parkes
Affiliations: Harvard John A. Paulson School of Engineering and Applied Sciences
Conference: nips 2023 (main track)
Keywords: Data Markets;Information Design;Differentiable Economics;Economics;Deep Learning;Mechanism Design;Algorithmic Game Theory
Decision: Poster
Title: FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning
Authors: Kun Song, Huimin Ma, Bochao Zou, Huishuai Zhang, Weiran Huang
Affiliations: Microsoft Research Asia; SCCE, University of Science and Technology Beijing; Qing Yuan Research Institute, SEIEE, Shanghai Jiao Tong University
Conference: nips 2023 (main track)
Keywords: few-shot learning;CLIP;fine-tuning
Decision: Poster
Title: Beyond MLE: Convex Learning for Text Generation
Authors: Chenze Shao, Zhengrui Ma, Min Zhang, Yang Feng
Affiliations: 1Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences & 2University of Chinese Academy of Sciences; School of Future Science and Engineering, Soochow University
Conference: nips 2023 (main track)
Keywords: Maximum likelihood estimation;Convex function;Text generation
Decision: Poster
Title: AV-NeRF: Learning Neural Fields for Real-World Audio-Visual Scene Synthesis
Authors: Susan Liang, Chao Huang, Yapeng Tian, Anurag Kumar, Chenliang Xu
Affiliations: University of Rochester; Meta Reality Labs Research
Conference: nips 2023 (main track)
Keywords: Scene synthesis;audio-visual;NeRF
Decision: Poster
Title: Dynamically Masked Discriminator for GANs
Authors: Wentian Zhang, Haozhe Liu, Bing Li, Jinheng Xie, Yawen Huang, Yuexiang Li, Yefeng Zheng, Bernard Ghanem
Affiliations: National University of Singapore; AI Initiative, King Abdullah University of Science and Technology; Jarvis Research Center, Tencent YouTu Lab; Life Sciences Institute, Guangxi Medical University
Conference: nips 2023 (main track)
Keywords: Generative model;Generative Adversarial Network
Decision: Poster
Title: Unsupervised Semantic Correspondence Using Stable Diffusion
Authors: Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
Affiliations: Google, Simon Fraser University, University of Toronto; Google; University of British Columbia; University of British Columbia, Vector Institute for AI
Conference: nips 2023 (main track)
Keywords: Semantic Correspondence;Stable Diffusion;Optimization-based Inference
Decision: Poster
Title: Belief Projection-Based Reinforcement Learning for Environments with Delayed Feedback
Authors: Jangwon Kim, Hangyeol Kim, Jiwook Kang, Jongchan Baek, Soohee Han
Affiliations: Electronics and Telecommunications Research Institute; Computational Control Engineering Lab., Pohang University of Science and Technology; Korea Aerospace Industries, Ltd.
Conference: nips 2023 (main track)
Keywords: time-delay system;reinforcement learning
Decision: Poster
Title: Sparsity-Preserving Differentially Private Training of Large Embedding Models
Authors: Badih Ghazi, Yangsibo Huang, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Amer Sinha, Chiyuan Zhang
Affiliations: Google Research, Mountain View, CA; Princeton University, Princeton, NJ
Conference: nips 2023 (main track)
Keywords: Differential Privacy;Recommendation Systems;Embedding Models;Efficient Machine Learning
Decision: Poster
Title: Stable and low-precision training for large-scale vision-language models
Authors: Mitchell Wortsman, Tim Dettmers, Luke Zettlemoyer, Ari Morcos, Ali Farhadi, Ludwig Schmidt
Affiliations: University of Washington; Allen Institute for AI; Meta AI Research, FAIR Team
Conference: nips 2023 (main track)
Keywords: CLIP;int8;stability
Decision: Poster
Title: The Simplicity Bias in Multi-Task RNNs: Shared Attractors, Reuse of Dynamics, and Geometric Representation
Authors: Elia Turner, Omri Barak
Affiliations: Department of Mathematics, Technion, Israel Institute of Technology; Rappaport Faculty of Medicine and Network Biology Research Laboratory, Technion, Israel Institute of Technology
Conference: nips 2023 (main track)
Keywords: Computational Neural Models; Recurrent Neural Networks; Multiple Tasks; Geometry;Dynamical Systems;Attractors;Neuroscience
Decision: Poster
Title: CEIL: Generalized Contextual Imitation Learning
Authors: Jinxin Liu, Li He, Yachen Kang, Zifeng Zhuang, Donglin Wang, Huazhe Xu
Affiliations: Tsinghua University, Shanghai Qi Zhi Institute, Shanghai AI Lab; Westlake University; Westlake University, Westlake Institute for Advanced Study; Westlake University, Zhejiang University
Conference: nips 2023 (main track)
Keywords: imitation learning;reinforcement learning;offline imitation learning
Decision: Poster
Title: A Unified, Scalable Framework for Neural Population Decoding
Authors: Mehdi Azabou, Vinam Arora, Venkataramana Ganesh, Ximeng Mao, Santosh Nachimuthu, Michael Mendelson, Blake Richards, Matthew Perich, Guillaume Lajoie, Eva Dyer
Affiliations: Mila, Université de Montréal; Mila, McGill University; Georgia Tech
Conference: nips 2023 (main track)
Keywords: neural population;brain decoder;transformer;tokenization;sequence-to-sequence;electrophysiology;brain-computer interfaces
Decision: Poster
Title: Meta-in-context learning in large language models
Authors: Julian Coda-Forno, Marcel Binz, Zeynep Akata, Zeynep Akata, Matt Botvinick, Jane Wang, Eric Schulz
Affiliations: Max Planck Institute for Biological Cybernetics; Google DeepMind - London, United-Kingdom; Max Planck Institute for Biological Cybernetics, University of Tübingen - Tübingen, Germany; University of Tübingen - Tübingen, Germany
Conference: nips 2023 (main track)
Keywords: Large language models;in-context learning;meta-learning;GPT-3
Decision: Poster