hunoutl/paperlists huggingface dataset:
Title: Drift doesn't Matter: Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection
Authors: Chengsen Wang, Zirui Zhuang, Qi Qi, Jingyu Wang, Xingyu Wang, Haifeng Sun, Jianxin Liao
Affiliations: State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China
Conference: nips 2023 (main track)
Keywords: Anomaly Detection;Time Series;Diffusion;Transformer
Decision: Poster
Title: Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning
Authors: Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei
Affiliations: UChicago; Ant Group; TTIC
Conference: nips 2023 (main track)
Keywords: event sequences;irregular time series;event prediction;large language model;reasoning;few-shot prompting
Decision: Poster
Title: Anchor Data Augmentation
Authors: Nora Schneider, Shirin Goshtasbpour, Fernando Perez-Cruz
Affiliations: Computer Science Department, ETH Zurich, Zurich, Switzerland; Computer Science Department, ETH Zurich, Zurich, Switzerland; Swiss Data Science Center, Zurich, Switzerland
Conference: nips 2023 (main track)
Keywords: Data Augmentation;Regression;Deep Learning
Decision: Poster
Title: MarioGPT: Open-Ended Text2Level Generation through Large Language Models
Authors: Shyam Sudhakaran, Miguel González-Duque, Matthias Freiberger, Claire Glanois, Elias Najarro, Sebastian Risi
Affiliations: IT University of Copenhagen; IT University of Copenhagen, modl.ai, Copenhagen
Conference: nips 2023 (main track)
Keywords: Large Language Models;Procedural Content Generation;Open-endedness;Novelty Search
Decision: Poster
Title: Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation
Authors: Dapeng Hu, Jian Liang, Jun Hao Liew, Chuhui Xue, Song Bai, Xinchao Wang
Affiliations: National University of Singapore; ByteDance Inc.; CRIPAC & MAIS, Institute of Automation, Chinese Academy of Sciences
Conference: nips 2023 (main track)
Keywords: Unsupervised Domain Adaptation; Model Selection; Hyperparameter Selection; Unsupervised Validation;
Decision: Poster
Title: Adapting to Continuous Covariate Shift via Online Density Ratio Estimation
Authors: Yu-Jie Zhang, Zhen-Yu Zhang, Peng Zhao, Masashi Sugiyama
Affiliations: RIKEN AIP, Tokyo, Japan; The University of Tokyo, Chiba, Japan; National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China
Conference: nips 2023 (main track)
Keywords: Covariate Shift;Density Ratio Estimation;Online Convex Optimization;Dynamic Regret;Logistic Regression
Decision: Poster
Title: RanPAC: Random Projections and Pre-trained Models for Continual Learning
Authors: Mark D. McDonnell, Dong Gong, Amin Parvaneh, Ehsan Abbasnejad, Anton van den Hengel
Affiliations: School of Computer Science and Engineering, University of New South Wales; Australian Institute for Machine Learning, The University of Adelaide
Conference: nips 2023 (main track)
Keywords: continual learning;class incremental learning;domain incremental learning;pre-trained models;parameter-efficient transfer learning
Decision: Poster
Title: Cross-Episodic Curriculum for Transformer Agents
Authors: Lucy Xiaoyang Shi, Yunfan Jiang, Jake Grigsby, Linxi Fan, Yuke Zhu
Affiliations: Stanford University; The University of Texas at Austin, NVIDIA Research; The University of Texas at Austin; NVIDIA Research
Conference: nips 2023 (main track)
Keywords: Transformers;In-context Learning;Reinforcement Learning;Robotics
Decision: Poster
Title: Learning Mixtures of Gaussians Using the DDPM Objective
Authors: Kulin Shah, Sitan Chen, Adam Klivans
Affiliations: Harvard University; UT Austin
Conference: nips 2023 (main track)
Keywords: Mixtures of Gaussians;score-based generative models;provable learning of score;Expectation-Maximization;DDPM generative model
Decision: Poster
Title: Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning
Authors: Zikang Tian, Ruizhi Chen, Xing Hu, Ling Li, Rui Zhang, Fan Wu, Shaohui Peng, Jiaming Guo, Zidong Du, Qi Guo, Yunji Chen
Affiliations: Intelligent Software Research Center, Institute of Software, CAS, Beijing, China; SKL of Processors, Institute of Computing Technology, CAS, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
Conference: nips 2023 (main track)
Keywords: Multi-Agent Reinforcement Learning;Transfer Learning;Zero-Shot Generalization
Decision: Poster
Title: Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
Authors: Paul Pu Liang, Zihao Deng, Martin Q. Ma, James Zou, Louis-Philippe Morency, Ruslan Salakhutdinov
Affiliations: Stanford University; Carnegie Mellon University; University of Pennsylvania
Conference: nips 2023 (main track)
Keywords: multimodal learning;contrastive learning;self-supervised learning;information theory
Decision: Poster
Title: FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow
Authors: Cameron Smith, Yilun Du, Ayush Tewari, Vincent Sitzmann
Affiliations: MIT CSAIL
Conference: nips 2023 (main track)
Keywords: Pose Estimation;Scene Flow Estimation;Scene Representation Learning;Computer Vision;Neural Implicit Representations;Neural Radiance Fields;View Synthesis;Self-Supervised Representation Learning
Decision: Poster
Title: LICO: Explainable Models with Language-Image COnsistency
Authors: Yiming Lei, Zilong Li, Yangyang Li, Junping Zhang, Hongming Shan
Affiliations: Academy of Mathematics and Systems Science, Chinese Academy of Sciences; Institute of Science and Technology for Brain-Inspired Intelligence and MOE Frontiers Center for Brain Science, Fudan University; Shanghai Center for Brain Science and Brain-inspired Technology; Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University
Conference: nips 2023 (main track)
Keywords: Language-image consistency;prompt learning;image classification;CNN interpretation
Decision: Poster
Title: FLOP: Tasks for Fitness Landscapes Of Protein wildtypes
Affiliations: Bioinformatics & Design, Enzyme Research, Novozymes; Department of Computer Science, University of Copenhagen; Department of Computer Science, University of Copenhagen; Bioinformatics & Design, Enzyme Research, Novozymes
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: protein engineering;enzyme engineering;representation learning;benchmark;optimization;wildtype
Decision: Reject
Title: Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement
Authors: Avani Gupta, Saurabh Saini, P J Narayanan
Affiliations: M42, UAE and IIIT Hyderabad, India; IIIT Hyderabad, India
Conference: nips 2023 (main track)
Keywords: Human Centered Concepts;ML interpretability;XAI based Model Improvement;Debiasing
Decision: Poster
Title: Discovering Intrinsic Spatial-Temporal Logic Rules to Explain Human Actions
Authors: Chengzhi Cao, Chao Yang, Ruimao Zhang, Shuang Li
Affiliations: The Chinese University of Hong Kong (Shenzhen); University of Science and Technology of China; The Chinese University of Hong Kong (Shenzhen)
Conference: nips 2023 (main track)
Keywords: Logic rule;human actions;sports analyze
Decision: Poster
Title: Risk-Averse Active Sensing for Timely Outcome Prediction under Cost Pressure
Authors: Yuchao Qin, Mihaela van der Schaar, Changhee Lee
Affiliations: University of Cambridge, UK, Alan Turing Institute, UK; Chung-Ang University, South Korea; University of Cambridge, UK
Conference: nips 2023 (main track)
Keywords: active sensing;value of information;risk-averse learning
Decision: Poster
Title: LEACE: Perfect linear concept erasure in closed form
Authors: Nora Belrose, David Schneider-Joseph, Shauli Ravfogel, Ryan Cotterell, Edward Raff, Stella Biderman
Affiliations: EleutherAI and Booz Allen Hamilton; EleutherAI; ETH Zürich; Booz Allen Hamilton; Bar-Ilan University
Conference: nips 2023 (main track)
Keywords: interpretability;fairness;concept erasure;representation;adversarial;robustness
Decision: Poster
Title: Characterization of Overfitting in Robust Multiclass Classification
Authors: Jingyuan Xu, Weiwei Liu
Affiliations: School of Computer Science, Wuhan University; National Engineering Research Center for Multimedia Software, Wuhan University, Institute of Artificial Intelligence, Wuhan University, Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan University
Conference: nips 2023 (main track)
Keywords: Learning Theory
Decision: Poster
Title: Stable Nonconvex-Nonconcave Training via Linear Interpolation
Authors: Thomas Pethick, Wanyun Xie, Volkan Cevher
Affiliations: EPFL (LIONS)
Conference: nips 2023 (main track)
Keywords: Minimax optimization;Lookahead;Generative adversarial networks;Stability;Nonconvex-nonconcave;Cohypomonotone
Decision: Spotlight
Title: LightSpeed: Light and Fast Neural Light Fields on Mobile Devices
Authors: Aarush Gupta, Junli Cao, Chaoyang Wang, Ju Hu, Sergey Tulyakov, Jian Ren, László Jeni
Affiliations: Robotics Institute, Carnegie Mellon University; Snap Inc.
Conference: nips 2023 (main track)
Keywords: light field;neural radiance field;novel view synthesis
Decision: Poster
Title: A Heavy-Tailed Algebra for Probabilistic Programming
Authors: Feynman Liang, Liam Hodgkinson, Michael Mahoney
Affiliations: Department of Statistics, University of California, Berkeley; ICSI, LBNL, and Department of Statistics, University of California, Berkeley; School of Mathematics and Statistics, University of Melbourne, Australia
Conference: nips 2023 (main track)
Keywords: probabilistic programming;static analysis;heavy tails;monte carlo;mcmc;variational inference
Decision: Poster
Title: One-Step Diffusion Distillation via Deep Equilibrium Models
Authors: Zhengyang Geng, Ashwini Pokle, J. Zico Kolter
Affiliations: Carnegie Mellon University; Carnegie Mellon University, Bosch Center for AI
Conference: nips 2023 (main track)
Keywords: Deep Equilibrium Models;Diffusion Models;Distillation;Generative Models
Decision: Poster
Title: A case for reframing automated medical image classification as segmentation
Authors: Sarah Hooper, Mayee Chen, Khaled Saab, Kush Bhatia, Curtis Langlotz, Christopher Ré
Affiliations: Radiology and Biomedical Data Science, Stanford University; Electrical Engineering, Stanford University; Computer Science, Stanford University
Conference: nips 2023 (main track)
Keywords: Medical imaging;segmentation;classification
Decision: Poster
Title: Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack
Authors: Pratik Karmakar, Debabrota Basu
Affiliations: School of Computing, National University of Singapore; CNRS@CREATE Ltd, 1 Create Way, Singapore; Équipe Scool, Univ. Lille, Inria, CNRS, Centrale Lille; UMR 9189- CRIStAL, F-59000 Lille, France
Conference: nips 2023 (main track)
Keywords: Differential Privacy;Model Extraction Attacks;Active Sampling;Max-Information Attack
Decision: Poster
Title: A Bayesian Take on Gaussian Process Networks
Authors: Enrico Giudice, Jack Kuipers, Giusi Moffa
Affiliations: Dep. of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland; Dep. of Mathematics and Computer Science, University of Basel, Basel, Switzerland; Dep. of Mathematics and Computer Science, University of Basel, Basel, Switzerland and Division of Psychiatry, University College London, London, UK
Conference: nips 2023 (main track)
Keywords: Bayesian networks;structure learning;graphical models;gaussian processes;Bayesian inference;MCMC sampling;importance sampling
Decision: Poster
Title: Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs
Authors: CHEN SHENGYUAN, Yunfeng Cai, Huang Fang, Xiao Huang, Mingming Sun
Affiliations: Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR; Cognitive Computing Lab, Baidu Research, 10 Xibeiwang East Rd., Beijing, China
Conference: nips 2023 (main track)
Keywords: Neuro-Symbolic Reasoning;Knowledge graph embedding;Probabilistic soft logic
Decision: Poster
Title: ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation
Authors: Zhitong Gao, Shipeng Yan, Xuming He
Affiliations: School of Information Science and Technology, ShanghaiTech University; Shanghai Engineering Research Center of Intelligent Vision and Imaging; School of Information Science and Technology, ShanghaiTech University
Conference: nips 2023 (main track)
Keywords: ood detection;semantic segmentation;anomaly segmentation;test-time adaptation
Decision: Poster
Title: FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective
Authors: Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu
Affiliations: Beijing Institute of Technology; University of Oxford; University of Macau; Tongji University; Macquarie University; HeFei University of Technology
Conference: nips 2023 (main track)
Keywords: multivariate time series forecasting;fourier space
Decision: Poster
Title: Riemannian Laplace approximations for Bayesian neural networks
Authors: Federico Bergamin, Pablo Moreno-Muñoz, Søren Hauberg, Georgios Arvanitidis
Affiliations: Section for Cognitive Systems, DTU Compute, Technical University of Denmark
Conference: nips 2023 (main track)
Keywords: Riemannian geometry;Laplace approximation;Approximate inference;Bayesian neural networks
Decision: Poster
Title: Neural Lad: A Neural Latent Dynamics Framework for Times Series Modeling
Authors: ting li, Jianguo Li, Zhanxing Zhu
Affiliations: Ant Group, Beijing, China; Changping National Lab & Peking University, Beijing, China
Conference: nips 2023 (main track)
Keywords: Neural CDE;Time-series forecasting;Latent Dynamic
Decision: Poster
Title: Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration
Authors: Theo Adrai, Guy Ohayon, Michael Elad, Tomer Michaeli
Affiliations: Technion–Israel Institute of Technology, Electrical Engineering; Technion–Israel Institute of Technology, Computer Science
Conference: nips 2023 (main track)
Keywords: Computer Vision;Image Restoration;Deep Learning;Perceptual Quality
Decision: Poster
Title: Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts
Authors: Pritam Sarkar, Ahmad Beirami, Ali Etemad
Affiliations: Queen’s University, Google Research; Queen’s University, Vector Institute; Google Research
Conference: nips 2023 (main track)
Keywords: computer vision;self-supervised learning;video self-supervised learning;natural distribution shift;video learning;out-of-distribution generalization
Decision: Spotlight
Title: Greatness in Simplicity: Unified Self-Cycle Consistency for Parser-Free Virtual Try-On
Authors: Chenghu Du, junyin Wang, Shuqing Liu, Shengwu Xiong
Conference: nips 2023 (main track)
Keywords: parser-free virtual try-on;self-cycle consistency;human analysis and understanding;fashion synthesis;Markov Random Field
Decision: Poster
Title: Learning Layer-wise Equivariances Automatically using Gradients
Authors: Tycho van der Ouderaa, Alexander Immer, Mark van der Wilk
Affiliations: Department of Computing, Imperial College London, United Kingdom; Department of Computer Science, ETH Zurich, Switzerland
Conference: nips 2023 (main track)
Keywords: learning layer-wise relaxed equivariances bayesian symmetry discovery marginal likelihood
Decision: Spotlight
Title: Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss
Authors: An Zhang, Leheng Sheng, Zhibo Cai, Xiang Wang, Tat-Seng Chua
Affiliations: Center for Applied Statistics and School of Statistics, Renmin University of China; National University of Singapore; University of Science and Technology of China; Tsinghua University
Conference: nips 2023 (main track)
Keywords: Collaborative filtering;Contrastive loss;Recommendation;Generalization ability
Decision: Poster
Title: Structured Neural Networks for Density Estimation and Causal Inference
Authors: Asic Chen, Ruian (Ian) Shi, Xiang Gao, Ricardo Baptista, Rahul Krishnan
Affiliations: California Institute of Technology; University of Toronto, Vector Institute
Conference: nips 2023 (main track)
Keywords: generative models;density estimation;normalizing flows;binary matrix factorization;causal inference
Decision: Poster
Title: Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation
Authors: Yingyi Chen, Qinghua Tao, Francesco Tonin, Johan Suykens
Affiliations: ESAT-STADIUS, KU Leuven, Belgium
Conference: nips 2023 (main track)
Keywords: Self-attention;primal-dual representations;SVD;kernel method;asymmetry;transformer
Decision: Poster
Title: The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter
Authors: AJAY JAISWAL, Shiwei Liu, Shiwei Liu, Tianlong Chen, Tianlong Chen, Zhangyang "Atlas" Wang
Affiliations: University of Texas at Austin; University of Texas at Austin, Eindhoven University of Technology
Conference: nips 2023 (main track)
Keywords: Pre-trained Models;Sparsity;Emergence;Transformers;Pruning
Decision: Poster
Title: LoRA: A Logical Reasoning Augmented Dataset for Visual Question Answering
Authors: Jingying Gao, Qi Wu, Alan Blair, Maurice Pagnucco
Affiliations: School of Computer & Mathematical Sciences, The University of Adelaide; School of Computer Science & Engineering, The University of New South Wales
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: VQA;Dataset;Logical Reasoning
Decision: Poster
Title: Kissing to Find a Match: Efficient Low-Rank Permutation Representation
Authors: Hannah Dröge, Zorah Lähner, Yuval Bahat, Onofre Martorell Nadal, Felix Heide, Michael Moeller
Affiliations: University of Siegen, 57076 Siegen, Germany; University of Balearic Islands, 07122 Palma, Illes Balears, Spain; Princeton University, Princeton, NJ 08544, United States
Conference: nips 2023 (main track)
Keywords: low rank;permutation;kissing number;matrix factorization;assigment problem
Decision: Poster
Title: Hybrid Search for Efficient Planning with Completeness Guarantees
Authors: Kalle Kujanpää, Joni Pajarinen, Alexander Ilin
Affiliations: Department of Electrical Engineering and Automation, Aalto University; Finnish Center for Artificial Intelligence FCAI; Department of Computer Science, Aalto University; Finnish Center for Artificial Intelligence FCAI; System 2 AI; Department of Computer Science, Aalto University; Finnish Center for Artificial Intelligence FCAI
Conference: nips 2023 (main track)
Keywords: Planning;Subgoal search;Reinforcement learning;Hierarchical Imitation Learning;Hierarchical planning;Hierarchical reinforcement learning
Decision: Poster
Title: Lie Point Symmetry and Physics-Informed Networks
Authors: Tara Akhound-Sadegh, Laurence Perreault-Levasseur, Johannes Brandstetter, Max Welling, Siamak Ravanbakhsh
Affiliations: Université de Montréal, Montreal, Quebec, Canada, Ciela Institute, Montreal, Quebec, Canada, Mila - Quebec Artificial Intelligence Institute, Montreal, Quebec, Canada, Trottier Space Institute, Montreal, Quebec, Canada, CCA, Flatiron Institute, New York, USA, Perimeter Institute, Waterloo, Ontario, Canada; Microsoft Research AI4Science, Amsterdam, Netherlands; University of Amsterdam, Amsterdam, Netherlands; School of Computer Science, McGill University, Mila - Quebec Artificial Intelligence Institute, Montreal, Quebec, Canada
Conference: nips 2023 (main track)
Keywords: PDE;Lie point symmetry;Symmetry;Neural PDE solver;PINNs
Decision: Poster
Title: Anonymous and Copy-Robust Delegations for Liquid Democracy
Authors: Markus Utke, Ulrike Schmidt-Kraepelin
Affiliations: Simons Laufer Mathematical Sciences Institute (SLMath), Berkeley, CA, United States; Department of Mathematics and Computer Science, TU Eindhoven, Eindhoven, The Netherlands
Conference: nips 2023 (main track)
Keywords: liquid democracy;directed trees;parameterized markov chain;matrix tree theorem;axiomatic method
Decision: Spotlight
Title: Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion
Authors: Yash Bhalgat, Iro Laina, João Henriques, Andrea Vedaldi, Andrew Zisserman
Affiliations: Visual Geometry Group, University of Oxford
Conference: nips 2023 (main track)
Keywords: Neural Radiance Fields;Instance Segmentation;Metric Learning;Clustering;3D Computer Vision
Decision: Spotlight
Title: A Dataset of Relighted 3D Interacting Hands
Authors: Gyeongsik Moon, Shunsuke Saito, Weipeng Xu, Rohan Joshi, Julia Buffalini, Harley Bellan, Nicholas Rosen, Jesse Richardson, Mallorie Mize, Philippe De Bree, Tomas Simon, Bo Peng, Shubham Garg, Kevyn McPhail, Takaaki Shiratori
Affiliations: Meta Reality Labs Research
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: dataset;3D interacting hands;relighting
Decision: Poster
Title: How to Data in Datathons
Authors: Carlos Mougan, Richard Plant, Clare Teng, Marya Bazzi, Alvaro Cabrejas Egea, Ryan Chan, David Salvador Jasin, Martin Stoffel, Kirstie Whitaker, JULES MANSER
Affiliations: The Alan Turing Institute; The Alan Turing Institute, University of Warwick; Fujitsu Research of Europe; The Alan Turing Institute, jmanser@turing.ac.uk; The Alan Turing Institute, University of Southampton; The Alan Turing Institute, Edinburgh Napier University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: datathon;hackathon;data;data framework
Decision: Poster
Title: Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction
Authors: Xiaowen Jiang, Sebastian Stich
Affiliations: CISPA∗
Conference: nips 2023 (main track)
Keywords: Convex Optimization;SGD;Adaptive Methods;Variance Reduction;Polyak Stepsize;Line-Search
Decision: Poster
Title: Paxion: Patching Action Knowledge in Video-Language Foundation Models
Authors: Zhenhailong Wang, Ansel Blume, Sha Li, Genglin Liu, Jaemin Cho, Zineng Tang, Mohit Bansal, Heng Ji
Affiliations: UIUC; UNC
Conference: nips 2023 (main track)
Keywords: video-language model;action knowledge benchmarking;action understanding;temporal understanding
Decision: Spotlight
Title: EV-Eye: Rethinking High-frequency Eye Tracking through the Lenses of Event Cameras
Authors: Guangrong Zhao, Yurun Yang, Jingwei Liu, Ning Chen, Yiran Shen, Hongkai Wen, Guohao Lan
Affiliations: Department of Software Technology, Delft University of Technology, NL; Department of Computer Science, University of Warwick, UK; School of Software, Shandong University, China
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: event cameras;high-frequency eye tracking;large scale multi-modal dataset
Decision: Poster
Title: Hierarchical Open-vocabulary Universal Image Segmentation
Authors: Xudong Wang, Shufan Li, Konstantinos Kallidromitis, Yusuke Kato, Kazuki Kozuka, Trevor Darrell
Affiliations: Berkeley AI Research, UC Berkeley; Panasonic AI Research
Conference: nips 2023 (main track)
Keywords: Universal Image Segmentation;Hierarchical;Open-vocabulary
Decision: Poster
Title: Active Reasoning in an Open-World Environment
Authors: Manjie Xu, Guangyuan Jiang, Wei Liang, Chi Zhang, Yixin Zhu
Affiliations: School of Computer Science & Technology, Beijing Institute of Technology; National Key Laboratory of General Artificial Intelligence, BIGAI; School of Computer Science & Technology, Beijing Institute of Technology; Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, China; Institute for AI, Peking University
Conference: nips 2023 (main track)
Keywords: Visual Reasoning;Abductive Reasoning;Active Reasoning
Decision: Poster
Title: Learning Universal Policies via Text-Guided Video Generation
Authors: Yilun Du, Sherry Yang, Bo Dai, Hanjun Dai, Ofir Nachum, Josh Tenenbaum, Dale Schuurmans, Pieter Abbeel
Affiliations: MIT†Google DeepMind‡; UC Berkeley§; MIT†; Google DeepMind‡||; UC Berkeley§Georgia Tech¶; Google DeepMind‡
Conference: nips 2023 (main track)
Keywords: sequential decision making;general-purpose agent;video diffusion
Decision: Spotlight
Title: EDGI: Equivariant Diffusion for Planning with Embodied Agents
Authors: Johann Brehmer, Joey Bose, Pim de Haan, Taco Cohen
Affiliations: Qualcomm AI Research; Qualcomm AI Research, Mila, McGill University
Conference: nips 2023 (main track)
Keywords: Planning;Diffusion models;Equivariance;Equivariant generative models
Decision: Poster