hunoutl/paperlists huggingface dataset:
Title: CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra
Authors: Andres Potapczynski, Marc Finzi, Geoff Pleiss, Geoff Pleiss, Andrew Wilson
Affiliations: New York University; Carnegie Mellon University; University of British Columbia
Conference: nips 2023 (main track)
Keywords: Machine Learning;Numerical Linear Algebra;partial differential equations;Gaussian processes;equivariance;graph learning;spectral analysis
Decision: Poster
Title: PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model
Authors: Yizhe Zhang, Jiatao Gu, Zhuofeng Wu, Shuangfei Zhai, Joshua Susskind, Navdeep Jaitly
Affiliations: Apple
Conference: nips 2023 (main track)
Keywords: Text generation;diffusion model;NLP
Decision: Poster
Title: Variational Annealing on Graphs for Combinatorial Optimization
Authors: Sebastian Sanokowski, Wilhelm Berghammer, Sepp Hochreiter, Sebastian Lehner
Affiliations: ELLIS Unit Linz and LIT AI Lab, Institute for Machine Learning, Johannes Kepler University Linz, Austria; Institute for Machine Learning, Johannes Kepler University Linz, Austria
Conference: nips 2023 (main track)
Keywords: Combinatorial Optimization;Entropy Regularization;Graph Neural Networks;Statistical Mechanics
Decision: Poster
Title: RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
Authors: Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit Cottereau, Wei Tsang Ooi
Affiliations: CNRS@CREATE; Carnegie Mellon University; Institute for Infocomm Research, A*STAR; National University of Singapore; Huazhong University of Science and Technology
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: benchmark;monocular depth estimation;common corruptions;robustness
Decision: Poster
Title: Cognitive Model Discovery via Disentangled RNNs
Authors: Kevin Miller, Maria Eckstein, Matt Botvinick, Zeb Kurth-Nelson
Affiliations: Google DeepMind and University College London, London, UK; Google DeepMind, London, UK
Conference: nips 2023 (main track)
Keywords: Cognitive modeling;neural networks;interpretability;disentangling;neuroscience;rodent behavior
Decision: Poster
Title: Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression
Authors: Robert Allison, Anthony Stephenson, Samuel F, Edward O Pyzer-Knapp
Affiliations: Department of Mathematics, Bristol University; Alan Turing Institute; IBM Research
Conference: nips 2023 (main track)
Keywords: Gaussian Processes;Bayesian Inference;Regression;Bayesian Nonparametrics;Kernel Methods
Decision: Poster
Title: MomentDiff: Generative Video Moment Retrieval from Random to Real
Authors: Pandeng Li, Chen-Wei Xie, Hongtao Xie, Liming Zhao, Lei Zhang, Yun Zheng, Deli Zhao, Yongdong Zhang
Affiliations: Alibaba Group; University of Science and Technology of China, Hefei, China
Conference: nips 2023 (main track)
Keywords: Video Moment Retrieval;Diffusion Model
Decision: Poster
Title: Plug-and-Play Stability for Intracortical Brain-Computer Interfaces: A One-Year Demonstration of Seamless Brain-to-Text Communication
Authors: Chaofei Fan, Nick Hahn, Foram Kamdar, Donald Avansino, Guy Wilson, Leigh Hochberg, Krishna V Shenoy, Jaimie Henderson, Francis Willett
Affiliations: Department of Neurosurgery, Stanford University; Bio-X Program, Stanford University; Department of Computer Science, Stanford University; Department of Neuroscience, Stanford University; School of Engineering and Carney Institute for Brain Science, Brown University; Howard Hughes Medical Institute at Stanford University
Conference: nips 2023 (main track)
Keywords: brain-computer interface;self-training;continual online learning
Decision: Spotlight
Title: Learning Robust Statistics for Simulation-based Inference under Model Misspecification
Authors: Daolang Huang, Ayush Bharti, Amauri Souza, Luigi Acerbi, Samuel Kaski
Affiliations: Aalto University; Aalto University, University of Manchester; University of Helsinki; Aalto University, Federal Institute of Ceará
Conference: nips 2023 (main track)
Keywords: Simulation-based inference;model misspecification;likelihood-free inference;approximate Bayesian computation;neural posterior estimation
Decision: Poster
Title: Language Models Meet World Models: Embodied Experiences Enhance Language Models
Authors: Jiannan Xiang, Tianhua Tao, Yi Gu, Tianmin Shu, Zirui Wang, Zichao Yang, Zhiting Hu
Affiliations: UC San Diego; MIT; UIUC; CMU
Conference: nips 2023 (main track)
Keywords: Language Model;World Model;Embodied Experience
Decision: Poster
Title: DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation
Authors: Kaipeng Zheng, Huishuai Zhang, Weiran Huang
Affiliations: Microsoft Research Asia; Qing Yuan Research Institute, SEIEE, Shanghai Jiao Tong University
Conference: nips 2023 (main track)
Keywords: Few-shot learning
Decision: Poster
Title: Neural Sampling in Hierarchical Exponential-family Energy-based Models
Authors: Xingsi Dong, Si Wu
Affiliations: 1. PKU-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies. 2. School of Psychological and Cognitive Sciences, Beijing Key Laboratory of Behavior and Mental Health, Peking University. 3. IDG/McGovern Institute for Brain Research. Center of Quantitative Biology, Peking University.
Conference: nips 2023 (main track)
Keywords: Baysian brain;sampling-based inference;energy-based models;local learning;exponential-family
Decision: Poster
Title: Learning to Parameterize Visual Attributes for Open-set Fine-grained Retrieval
Authors: Shijie Wang, Jianlong Chang, Haojie Li, Zhihui Wang, Wanli Ouyang, Qi Tian
Affiliations: Huawei Cloud & AI, China; International School of Information Science & Engineering, Dalian University of Technology, China; College of Computer and Engineering, Shandong University of Science and Technology, China; Shanghai Artificial Intelligence Laboratory, China
Conference: nips 2023 (main track)
Keywords: Open-set Fine-grained Retrieval;Visual Attribute;Unknown Categories
Decision: Poster
Title: ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation
Authors: Shuyang Sun, WEIJUN WANG, Andrew Howard, Qihang Yu, Philip Torr, Liang-Chieh Chen
Affiliations: University of Oxford; Google Research
Conference: nips 2023 (main track)
Keywords: Panoptic segmentation;efficient models
Decision: Poster
Title: SpecTr: Fast Speculative Decoding via Optimal Transport
Authors: Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix Yu
Affiliations: Google Research, New York
Conference: nips 2023 (main track)
Keywords: autoregressive sampling; computation efficiency; optimal transport
Decision: Poster
Title: DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation
Authors: Shentong Mo, Shentong Mo, Enze Xie, Ruihang Chu, Lanqing Hong, Matthias Niessner, Zhenguo Li
Affiliations: CUHK; Huawei Noah’s Ark Lab; TUM; MBZUAI
Conference: nips 2023 (main track)
Keywords: Diffusion Models;Transformers;3D Shape Generation
Decision: Poster
Title: Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent
Authors: Jihao Andreas Lin, Javier Antorán, Shreyas Padhy, David Janz, José Miguel Hernández-Lobato, Alexander Terenin
Affiliations: University of Cambridge, Max Planck Institute for Intelligent Systems; University of Cambridge; University of Cambridge, Cornell University; University of Alberta
Conference: nips 2023 (main track)
Keywords: Gaussian processes;scalable learning;posterior sampling;Bayesian optimization
Decision: Oral
Title: An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization
Authors: Marco Rando, Cesare Molinari, Lorenzo Rosasco, Silvia Villa
Affiliations: MaLGa-DIBRIS, University of Genova, IT; Istituto Italiano di Tecnologia, Genova, Italy and CBMM - MIT, Cambridge, MA, USA; MaLGa-DIBRIS, University of Genova, IT; MaLGa - DIMA, University of Genova, Italy
Conference: nips 2023 (main track)
Keywords: nonsmooth optimization;zeroth order optimization;nonsmooth zeroth-order
Decision: Poster
Title: Errors-in-variables Fr\'echet Regression with Low-rank Covariate Approximation
Authors: Dogyoon Song, Kyunghee Han
Affiliations: Department of Math, Stat and Comp Sci, University of Illinois at Chicago, Chicago, IL 60607, USA; Department of EECS, University of Michigan, Ann Arbor, MI 48109, USA
Conference: nips 2023 (main track)
Keywords: Frechet regression;principal component regression;non-Euclidean;low-rank matrix;errors-in-variables analysis
Decision: Poster
Title: Bayesian Risk-Averse Q-Learning with Streaming Observations
Authors: Yuhao Wang, Enlu Zhou
Affiliations: School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332
Conference: nips 2023 (main track)
Keywords: Q-learning;risk-averse reinforcement learning;off-policy learning;Bayesian risk Markov decision process;distributionally robust Markov decision process
Decision: Poster
Title: Robust and Actively Secure Serverless Collaborative Learning
Authors: Nicholas Franzese, Adam Dziedzic, Christopher A. Choquette-Choo, Mark R Thomas, Muhammad Ahmad Kaleem, Stephan Rabanser, Congyu Fang, Somesh Jha, Nicolas Papernot, Xiao Wang
Affiliations: University of Wisconsin-Madison; University of Toronto and Vector Institute; Google; CISPA; Northwestern University
Conference: nips 2023 (main track)
Keywords: collaborative learning;robust aggregation;secure machine learning
Decision: Poster
Title: On Generalization Bounds for Projective Clustering
Authors: Maria Sofia Bucarelli, Matilde Larsen, Chris Schwiegelshohn, Mads Toftrup
Affiliations: Department of Computer, Control and Management Engineering Antonio Ruberti, Sapienza University of Rome, Italy; Department of Computer Science, Aarhus University, Denmark
Conference: nips 2023 (main track)
Keywords: Subspace Clustering;Learning Theory;Clustering;Error bounds
Decision: Poster
Title: Solving a Class of Non-Convex Minimax Optimization in Federated Learning
Authors: Xidong Wu, Jianhui Sun, Zhengmian Hu, Aidong Zhang, Heng Huang
Affiliations: Computer Science, University of Virginia, Charlottesville, V A 22903; Computer Science, University of Maryland, College Park, MD 20742; Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA 15213
Conference: nips 2023 (main track)
Keywords: Federated Learning;Non-Convex  Optimization;Minimax Optimization
Decision: Poster
Title: Objaverse-XL: A Universe of 10M+ 3D Objects
Authors: Matt Deitke, Ruoshi Liu, Matthew Wallingford, Huong Ngo, Oscar Michel, Aditya Kusupati, Alan Fan, Christian Laforte, Vikram Voleti, Samir Yitzhak Gadre, Eli VanderBilt, Aniruddha Kembhavi, Carl Vondrick, Georgia Gkioxari, Kiana Ehsani, Ludwig Schmidt, Ali Farhadi
Affiliations: Stability AI; Columbia University; Allen Institute for AI; University of Washington, Seattle; California Institute of Technology
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: 3d;large-scale training;objaverse;nerf;generative modeling;zero123
Decision: Poster
Title: Persuading Farsighted Receivers in MDPs: the Power of Honesty
Authors: Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Mirco Mutti
Affiliations: Politecnico di Milano; Technion; Bocconi University
Conference: nips 2023 (main track)
Keywords: Bayesian Persuasion;MPD;information design;signaling
Decision: Poster
Title: Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model
Authors: Zirui Liu, Guanchu Wang, Shaochen (Henry) Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang (Ryan) Tang, Zhimeng (Stephen) Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Hu
Affiliations: Case Western Reserve University; Texas A&M University; Rice University; Stevens Institute of Technology
Conference: nips 2023 (main track)
Keywords: memory-efficient tuning;language model;transformers
Decision: Poster
Title: Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer
Authors: Bowen Tan, Yun Zhu, Lijuan Liu, Eric Xing, Zhiting Hu, Jindong Chen
Affiliations: UC San Diego; Carnegie Mellon University; Carnegie Mellon University, Petuum Inc., Mohamed bin Zayed University of Artificial Intelligence; Google Research
Conference: nips 2023 (main track)
Keywords: multi-task;large language models;pretrain model
Decision: Poster
Title: Dataset Diffusion: Diffusion-based Synthetic Data Generation for Pixel-Level Semantic Segmentation
Authors: Quang Nguyen, Truong Vu, Truong Vu, Anh Tran, Khoi Nguyen
Affiliations: VinAI Research; VinAI Research, Ho Chi Minh City University of Technology, VNU-HCM
Conference: nips 2023 (main track)
Keywords: Deep learning; Diffusion Models; Semantic Segmentation; Text-to-Image
Decision: Poster
Title: Topological Parallax: A Geometric Specification for Deep Perception Models
Authors: Abraham Smith, Michael Catanzaro, Gabrielle Angeloro, Nirav Patel, Paul Bendich
Affiliations: Geometric Data Analytics, Inc., Duke University; Geometric Data Analytics, Inc., University of Wisconsin-Stout; Geometric Data Analytics, Inc.
Conference: nips 2023 (main track)
Keywords: topological data analysis;persistent homology;convexity;AI safety;interpolation
Decision: Spotlight
Title: The Distortion of Binomial Voting Defies Expectation
Authors: Yannai A. Gonczarowski, Gregory Kehne, Ariel Procaccia, Ben Schiffer, Shirley Zhang
Affiliations: Department of Computer Science, University of Texas at Austin; Department of Statistics, Harvard University; Department of Economics and Paulson School of Engineering and Applied Sciences, Harvard University; Paulson School of Engineering and Applied Sciences, Harvard University
Conference: nips 2023 (main track)
Keywords: computational social choice;statistics;distortion
Decision: Poster
Title: Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management
Authors: Dhawal Gupta, Yinlam Chow, Azamat Tulepbergenov, Mohammad Ghavamzadeh, Craig Boutilier
Affiliations: Amazon; Google Research; University of Massachusetts
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Mixture of Experts;Dialogue Management
Decision: Poster
Title: Implicit Variational Inference for High-Dimensional Posteriors
Authors: Anshuk Uppal, Kristoffer Stensbo-Smidt, Wouter Boomsma, Jes Frellsen
Affiliations: University of Copenhagen; Technical University of Denmark
Conference: nips 2023 (main track)
Keywords: Implicit models;Variational Inference;Bayesian Deep Learning;Bayesian Inference;Generative Modelling
Decision: Spotlight
Title: Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows
Authors: Alexandre Verine, Benjamin Negrevergne, Muni Sreenivas Pydi, Yann Chevaleyre
Affiliations: LAMSADE, CNRS, Université Paris-Dauphine-PSL, Paris, France
Conference: nips 2023 (main track)
Keywords: Generative Models;Precision;Recall;Optimization;f-Divergeces
Decision: Poster
Title: Intelligent Knee Sleeves: A Real-time Multimodal Dataset for 3D Lower Body Motion Estimation Using Smart Textile
Authors: Wenwen Zhang, Arvin Tashakori, Zenan Jiang, Amir Servati, Harishkumar Narayana, Saeid Soltanian, Rou Yi Yeap, Menghan Ma, Lauren Toy, Peyman Servati
Affiliations: Texavie Technologies Inc.; Department of Electrical and Computer Engineering, University of British Columbia
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Pose estimation;muscle activity;textile sensing;pressure sensor;motion track;wearable sensors;machine learning;joint angles;activity track;benchmark dataset;exercise monitoring;open-source multimodal dataset;3D human model
Decision: Poster
Title: PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising
Authors: Hyemi Jang, Junsung Park, Dahuin Jung, Jaihyun Lew, Ho Bae, Sungroh Yoon
Affiliations: Department of Electrical and Computer Engineering, Seoul National University and Interdisciplinary Program in Artificial Intelligence, Seoul National University; Interdisciplinary Program in Artificial Intelligence, Seoul National University; Department of Cyber Security, Ewha Womans University; Department of Electrical and Computer Engineering, Seoul National University
Conference: nips 2023 (main track)
Keywords: self-supervised image denoising;low-level vision
Decision: Poster
Title: Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models
Authors: Julien Siems, Konstantin Ditschuneit, Winfried Ripken, Alma Lindborg, Maximilian Schambach, Johannes Otterbach, Martin Genzel
Affiliations: nyonic; Scenarium AI; Merantix Momentum; University of Freiburg
Conference: nips 2023 (main track)
Keywords: Interpretable Machine Learning;Generalized Additive Models;Concurvity;Multicollinearity;Regularization;Time-Series Forecasting;Interpretability
Decision: Poster
Title: GEQ: Gaussian Kernel Inspired Equilibrium Models
Authors: Mingjie Li, Yisen Wang, Zhouchen Lin
Affiliations: Peng Cheng Laboratory; National Key Lab of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University; Institute for Artificial Intelligence, Peking University
Conference: nips 2023 (main track)
Keywords: equilibirum models;neural networks
Decision: Poster
Title: REx: Data-Free Residual Quantization Error Expansion
Authors: Edouard YVINEC, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
Affiliations: Sorbonne Université, CNRS, ISIR, f-75005, 4 Place Jussieu 75005 Paris, France; Datakalab, 114 boulevard Malesherbes, 75017 Paris, France; Datakalab, 114 boulevard Malesherbes, 75017 Paris, France; Sorbonne Université, CNRS, ISIR, f-75005, 4 Place Jussieu 75005 Paris, France
Conference: nips 2023 (main track)
Keywords: deep learning;quantization;compression;acceleration;data-free
Decision: Poster
Title: Uniform Convergence with Square-Root Lipschitz Loss
Authors: Lijia Zhou, Zhen Dai, Frederic Koehler, Nati Srebro
Affiliations: University of Chicago; Toyota Technological Institute at Chicago; Stanford University
Conference: nips 2023 (main track)
Keywords: Uniform Convergence;Square-Root Lipschitz;Benign Overfitting;Minimal Norm Interpolation;Phase Retrieval;ReLU Regression;Matrix Sensing
Decision: Poster
Title: White-Box Transformers via Sparse Rate Reduction
Authors: Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Benjamin Haeffele, Yi Ma
Affiliations: University of California, Berkeley; Johns Hopkins University; TTIC
Conference: nips 2023 (main track)
Keywords: white-box deep neural networks;representation learning;transformer;sparse coding
Decision: Poster
Title: CoDet: Co-occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection
Authors: Chuofan Ma, Yi Jiang, Xin Wen, Zehuan Yuan, Xiaojuan Qi
Affiliations: The University of Hong Kong; ByteDance Inc.
Conference: nips 2023 (main track)
Keywords: Open-vocabulary Object Detection; Object-level Vision-Language Pretraining
Decision: Poster
Title: Learning Rate Free Sampling in Constrained Domains
Authors: Louis Sharrock, Lester Mackey, Christopher Nemeth
Affiliations: Department of Mathematics and Statistics, Lancaster University, UK; Microsoft Research New England, Cambridge, MA
Conference: nips 2023 (main track)
Keywords: Sampling;Particle Based Variational Inference;Bayesian Inference;Wasserstein Gradient Descent;Coin Betting;Constrained Domains
Decision: Poster
Title: Information Geometry of the Retinal Representation Manifold
Authors: Xuehao Ding, Dongsoo Lee, Joshua Melander, George Sivulka, Surya Ganguli, Stephen Baccus
Affiliations: Department of Neurobiology, Stanford University; Department of Electrical Engineering, Stanford University; Department of Applied Physics, Stanford University; Neurosciences Phd Program, Stanford University
Conference: nips 2023 (main track)
Keywords: neural coding;theoretical neuroscience;stochastic methods;neural networks
Decision: Poster
Title: Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum
Authors: Yijian Qin, Xin Wang, Ziwei Zhang, Hong Chen, Wenwu Zhu
Affiliations: Department of Computer Science and Technology, Tsinghua University; Department of Computer Science and Technology, Tsinghua University, BNRist
Conference: nips 2023 (main track)
Keywords: graph neural network;neural architecture search;multi-task learning
Decision: Poster
Title: Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models
Authors: Qiong Wu, Wei Yu, Yiyi Zhou, Shubin Huang, Xiaoshuai Sun, Rongrong Ji
Affiliations: Institute of Artificial Intelligence, Xiamen University, 361005, P.R. China.; Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University, 361005, P.R. China.
Conference: nips 2023 (main track)
Keywords: vision and language;parameter and computation efficient transfer learning
Decision: Poster
Title: Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem
Authors: Anonymous
Affiliations: School of Engineering and Applied Sciences, Harvard University, Cambridge, USA; Faculty of Computer Science, Technion – Israel Institute of Technology, Haifa, Israel; Faculty of Mathematics, Technion – Israel Institute of Technology, Haifa, Israel
Conference: nips 2023 (main track)
Keywords: Equivariant Neural Networks;Universal approximation;Geometric deep learning;multiset learning;injective multiset functions;learning on measures. WL test
Decision: Spotlight
Title: GLOBER: Coherent Non-autoregressive Video Generation via GLOBal Guided Video DecodER
Authors: Mingzhen Sun, Weining Wang, Zihan Qin, Jiahui Sun, Sihan Chen, Jing Liu
Affiliations: Institute of Automation, Chinese Academy of Sciences (CASIA); School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS); Institute of Automation, Chinese Academy of Sciences (CASIA); School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS)
Conference: nips 2023 (main track)
Keywords: Video Generation;Video Autoencoder;Diffusion Probabilistic Model
Decision: Poster
Title: Context Shift Reduction for Offline Meta-Reinforcement Learning
Authors: Yunkai Gao, Rui Zhang, Jiaming Guo, Fan Wu, Qi Yi, Shaohui Peng, Siming Lan, Ruizhi Chen, Zidong Du, Xing Hu, Qi Guo, Ling Li, Yunji Chen
Affiliations: Intelligent Software Research Center, Institute of Software, CAS, Beijing, China; University of Chinese Academy of Sciences, UCAS, Beijing, China; Shanghai Innovation Center for Processor Technologies, SHIC, Shanghai, China; State Key Lab of Processors, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China; University of Science and Technology of China, USTC, Hefei, China
Conference: nips 2023 (main track)
Keywords: offline meta-reinforcement learning;offline reinforcement learning;meta-reinforcement learning
Decision: Poster
Title: Scalarization for Multi-Task and Multi-Domain Learning at Scale
Authors: Amelie Royer, Tijmen Blankevoort, Babak Ehteshami Bejnordi
Affiliations: Qualcomm AI Research∗, Amsterdam, The Netherlands
Conference: nips 2023 (main track)
Keywords: multitask;multidomain;optimization;population based training
Decision: Poster
Title: NAP: Neural 3D Articulated Object Prior
Authors: Jiahui Lei, Congyue Deng, William B Shen, Leonidas Guibas, Kostas Daniilidis
Affiliations: Stanford University; University of Pennsylvania, Archimedes, Athena RC; University of Pennsylvania
Conference: nips 2023 (main track)
Keywords: 3D articulated objects;diffusion models;generative models
Decision: Poster
Title: Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry
Authors: Bariscan Bozkurt, Cengiz Pehlevan, Alper Erdogan
Affiliations: Gatsby Computational Neuroscience Unit, UCL, United Kingdom; John A. Paulson School of Engineering & Applied Sciences and Center for Brain Science, Harvard University, Cambridge, 02138 MA, USA; KUIS AI Center, Koc University, Turkey; EEE Department, Koc University, Turkey
Conference: nips 2023 (main track)
Keywords: Correlative information maximization;Biologically-plausible learning;Multi-compartment neural model
Decision: Poster