hunoutl/paperlists huggingface dataset:
Title: SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network
Authors: Yuting Hu, Jiajie Li, Florian Klemme, Gi-Joon Nam, Tengfei Ma, Hussam Amrouch, Jinjun Xiong
Affiliations: University of Stuttgart, Stuttgart, Germany; University at Buffalo, Buffalo, NY, USA; IBM Research, Yorktown Heights, NY, USA; Technical University of Munich, München, Germany; Stony Brook University, Stony Brook, NY, USA
Conference: nips 2023 (main track)
Keywords: Graph Neural Networks;Integrated Circuits;Circuit Timing Analysis;Physics-guided Deep Learning
Decision: Poster
Title: ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics
Authors: Zhangyang Gao, Cheng Tan, Yijie Zhang, Xingran Chen, Lirong Wu, Stan Z. Li
Affiliations: McGill University; Zhejiang University, AI Lab, Research Center for Industries of the Future, Westlake University; University of Michigan; AI Lab, Research Center for Industries of the Future, Westlake University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: protein design
Decision: Poster
Title: Global Structure-Aware Diffusion Process for Low-light Image Enhancement
Authors: Jinhui HOU, Zhiyu Zhu, Junhui Hou, Hui LIU, Huanqiang Zeng, Hui Yuan
Affiliations: Shandong University; Caritas Institute of Higher Education; Huaqiao University; City University of Hong Kong
Conference: nips 2023 (main track)
Keywords: Image enhancement;diffusion models
Decision: Poster
Title: Natural Language Instruction-following with Task-related Language Development and Translation
Authors: Jing-Cheng Pang, Xin-Yu Yang, Si-Hang Yang, Xiong-Hui Chen, Yang Yu
Affiliations: National Key Laboratory of Novel Software Technology, Nanjing University
Conference: nips 2023 (main track)
Keywords: Reinforcement learning;instruction-following;autonomous agent
Decision: Poster
Title: Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting
Authors: Miles Turpin, Julian Michael, Ethan Perez, Samuel Bowman
Affiliations: NYU Alignment Research Group; NYU Alignment Research Group, Cohere; NYU Alignment Research Group, Anthropic
Conference: nips 2023 (main track)
Keywords: Natural language processing;large language models;XAI;explainability
Decision: Poster
Title: BIOT: Biosignal Transformer for Cross-data Learning in the Wild
Authors: Chaoqi Yang, M Westover, Jimeng Sun
Affiliations: University of Illinois Urbana-Champaign; Harvard Medical School, Beth Israel Deaconess Medical Center
Conference: nips 2023 (main track)
Keywords: biological signal;transformer;cross-data learning;in-the-wild learning
Decision: Poster
Title: Tight Risk Bounds for Gradient Descent on Separable Data
Authors: Matan Schliserman, Tomer Koren
Affiliations: Google Research, Tel Aviv; Blavatnik School of Computer Science, Tel Aviv University
Conference: nips 2023 (main track)
Keywords: Convex optimization;Gradient Descent;separable data;generalization bounds;Stochastic Gradient Descent.
Decision: Spotlight
Title: Tight Bounds for Volumetric Spanners and Applications
Authors: Aditya Bhaskara, Sepideh Mahabadi, Ali Vakilian
Affiliations: University of Utah; Microsoft Research–Redmond; Toyota Technological Institute at Chicago (TTIC)
Conference: nips 2023 (main track)
Keywords: volumetric spanner;well-conditioned basis;determinant maximization;minimum volume enclosing ellipsoid
Decision: Poster
Title: RIO: A Benchmark for Reasoning Intention-Oriented Objects in Open Environments
Authors: Mengxue Qu, Yu Wu, Wu Liu, Xiaodan Liang, Jingkuan Song, Yao Zhao, Yunchao Wei
Affiliations: JD Explore Academy; Sun Yat-sen University; University of Electronic Science and Technology of China; Institute of Information Science, Beijing Jiaotong University; Peng Cheng Laboratory; Beijing Key Laboratory of Advanced Information Science and Network Technology; Institute of Information Science, Beijing Jiaotong University; Wuhan University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Intention-Oriented Reasoning; Vision and Language; Object Detection; Instance Segmentation
Decision: Poster
Title: PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning
Authors: Hojoon Lee, Hanseul Cho, HYUNSEUNG KIM, DAEHOON GWAK, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun
Affiliations: Graduate School of AI, KAIST
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Sharpness Minimization;Generalization;Plasticity;Deep Learning
Decision: Poster
Title: EMMA-X: An EM-like Multilingual Pre-training Algorithm for Cross-lingual Representation Learning
Authors: Ping Guo, Xiangpeng Wei, Yue Hu, Baosong Yang, Dayiheng Liu, Fei Huang, jun xie
Affiliations: Machine Intelligence Technology Lab, Alibaba DAMO Academy, Hangzhou, China; Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China; School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China
Conference: nips 2023 (main track)
Keywords: cross-lingual pretraining;language-agnostic representation
Decision: Poster
Title: BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting
Authors: Patrick Emami, Abhijeet Sahu, Peter Graf
Affiliations: National Renewable Energy Lab
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Short-term load forecasting;climate change;time series forecasting;transformers;pretraining
Decision: Poster
Title: Maximum Average Randomly Sampled: A Scale Free and Non-parametric Algorithm for Stochastic Bandits
Authors: Masoud Moravej Khorasani, Erik Weyer
Affiliations: Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, Melbourne, Victoria, Australia
Conference: nips 2023 (main track)
Keywords: Stochastic Multi-armed bandit;Online Learning;Upper Confidence Bound
Decision: Poster
Title: Sequential Subset Matching for Dataset Distillation
Authors: JIAWEI DU, Qin Shi, Joey Tianyi Zhou
Affiliations: Centre for Frontier AI Research (CFAR), Agency for Science, Technology and Research (A*STAR), Singapore; Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore
Conference: nips 2023 (main track)
Keywords: Dataset distillation;gradients matching
Decision: Poster
Title: Estimating the Rate-Distortion Function by Wasserstein Gradient Descent
Authors: Yibo Yang, Stephan Eckstein, Marcel Nutz, Stephan Mandt
Affiliations: University of California, Irvine; ETH Zurich; Columbia University
Conference: nips 2023 (main track)
Keywords: information theory;rate-distortion function;optimal transport
Decision: Poster
Title: Explainable Brain Age Prediction using coVariance Neural Networks
Authors: Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
Affiliations: University of Rochester, Rochester, NY.; University of Pennsylvania, Philadelphia, PA.
Conference: nips 2023 (main track)
Keywords: graph neural networks;brain age;Alzheimer's disease;interpretability;explainability;computational neuroscience
Decision: Poster
Title: HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models
Authors: CHEN CHEN, Yuchen Hu, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Pin-Yu Chen, Eng-Siong Chng
Affiliations: Nanyang Technological University; Norwegian University of Science and Technology; Georgia Institute of Technology, NVIDIA Research; IBM Research AI
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Automatic speech recognition;language model rescoring;N-best Hypothesis list.
Decision: Poster
Title: Enhancing Motion Deblurring in High-Speed Scenes with Spike Streams
Authors: Shiyan Chen, Jiyuan Zhang, Yajing Zheng, Tiejun Huang, Zhaofei Yu
Affiliations: School of Computer Science, Peking University; National Key Laboratory for Multimedia Information Processing, Peking University; Institute for Artificial Intelligence, Peking University
Conference: nips 2023 (main track)
Keywords: spike camera;neuromorphic vision sensors;motion deblurring;high speed imaging
Decision: Poster
Title: Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture
Authors: Dan Fu, Simran Arora, Jessica Grogan, Isys Johnson, Evan Sabri Eyuboglu, Armin Thomas, Benjamin Spector, Michael Poli, Atri Rudra, Christopher Ré
Affiliations: Department of Computer Science, Stanford University; Department of Computer Science and Engineering, University at Buffalo, SUNY; Department of Psychology, Stanford University
Conference: nips 2023 (main track)
Keywords: structured matrices;transformers;efficiency
Decision: Oral
Title: The geometry of hidden representations of large transformer models
Authors: Lucrezia Valeriani, Diego Doimo, Francesca Cuturello, Alessandro Laio, Alessio Ansuini, Alberto Cazzaniga
Affiliations: AREA Science Park, Trieste, Italy; University of Trieste, Trieste, Italy; AREA Science Park, Trieste, Italy; SISSA, Trieste, Italy; SISSA, Trieste, Italy; ICTP, Trieste, Italy; AREA Science Park, Trieste, Italy
Conference: nips 2023 (main track)
Keywords: Representations;transformers;geometry;interpretability
Decision: Poster
Title: Bitstream-Corrupted Video Recovery: A Novel Benchmark Dataset and Method
Authors: Tianyi Liu, Kejun Wu, Yi Wang, Wenyang Liu, Kim-Hui Yap, Lap-Pui Chau
Affiliations: Department of EEE, The Hong Kong Polytechnic University, Hong Kong; School of EEE, Nanyang Technological University, Singapore
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Video recovery;bitstream corruption;benchmark dataset
Decision: Poster
Title: NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries
Authors: Qijian Zhang, Junhui Hou, Yohanes Adikusuma, Wenping Wang, Ying He
Affiliations: Department of Computer Science, City University of Hong Kong, Hong Kong SAR, China; Department of Computer Science and Engineering, Texas A&M University, Texas, USA; School of Computer Science and Engineering, Nanyang Technological University, Singapore
Conference: nips 2023 (main track)
Keywords: geodesic distance;implicit representation;3D geometry
Decision: Poster
Title: On the Role of Entanglement and Statistics in Learning
Authors: Srinivasan Arunachalam, Vojtech Havlicek, Louis Schatzki
Affiliations: Electrical and Computer Engineering, University of Illinois, Urbana-Champaign; IBM Quantum, Almaden Research Center; IBM Quantum, T.J. Watson Research Center
Conference: nips 2023 (main track)
Keywords: Quantum Computing;Statistical Learning;Quantum learning theory;Entanglement
Decision: Poster
Title: A Scalable Neural Network for DSIC Affine Maximizer Auction Design
Authors: Zhijian Duan, Haoran Sun, Yurong Chen, Xiaotie Deng
Affiliations: Peking University; CFCS, School of Computer Science, Peking University; CFCS, School of Computer Science & CMAR, Institute for AI, Peking University
Conference: nips 2023 (main track)
Keywords: Automated Mechanism Design;Auction Design;Affine Maximizer Auctions;Deep Learning;Game Theory
Decision: Spotlight
Title: The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model
Authors: Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Matthieu Geist, Yuejie Chi
Affiliations: Department of Electrical and Computer Engineering, Carnegie Mellon University, PA, USA; Department of Statistics and Data Science, Wharton School, University of Pennsylvania, PA, USA; Google Research, Brain Team, Paris, France; Department of Computing Mathematical Sciences, California Institute of Technology, CA, USA; Department of Statistics, The Chinese University of Hong Kong, Hong Kong, China
Conference: nips 2023 (main track)
Keywords: distributionally robust reinforcement learning;robust Markov decision processes;sample complexity
Decision: Poster
Title: GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search
Authors: Xiao Zang, Miao Yin, Jinqi Xiao, Saman Zonouz, Bo Yuan
Affiliations: Department of Electrical and Computer Engineering, Rutgers University; School of Cybersecurity and Privacy, Georgia Institute of Technology; Department of Computer Science and Engineering, The University of Texas at Arlington
Conference: nips 2023 (main track)
Keywords: graph neural network;deep learning
Decision: Poster
Title: Riemannian Residual Neural Networks
Authors: Isay Katsman, Eric Chen, Sidhanth Holalkere, Anna Asch, Aaron Lou, Ser Nam Lim, Christopher De Sa
Affiliations: Stanford University; Cornell University; Yale University; University of Central Florida
Conference: nips 2023 (main track)
Keywords: neural network;riemannian;manifold;resnet
Decision: Poster
Title: Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning
Authors: Seungyong Moon, Junyoung Yeom, Bumsoo Park, Hyun Oh Song
Affiliations: Seoul National University; KRAFTON
Conference: nips 2023 (main track)
Keywords: reinforcement learning;hierarchical reinforcement learning;contrastive learning;procedurally generated environments
Decision: Poster
Title: Context-guided Embedding Adaptation for Effective Topic Modeling in Low-Resource Regimes
Authors: Yishi Xu, Jianqiao Sun, Yudi Su, Xinyang Liu, Zhibin Duan, Bo Chen, Mingyuan Zhou
Affiliations: National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an, China, 710071; McCombs School of Business, The University of Texas at Austin, TX 78712, USA
Conference: nips 2023 (main track)
Keywords: Few-shot generative model; topic modeling;
Decision: Poster
Title: Guarantees for Self-Play in Multiplayer Games via Polymatrix Decomposability
Authors: Revan MacQueen, James Wright
Affiliations: Department of Computing Science, University of Alberta / Amii
Conference: nips 2023 (main track)
Keywords: Algorithmic Game Theory;Self-Play;Regret-Minimization;Multi-agent RL;Multiplayer Games;General-Sum Games
Decision: Poster
Title: Bayesian Extensive-Rank Matrix Factorization with Rotational Invariant Priors
Authors: Farzad Pourkamali, Nicolas Macris
Affiliations: School of Computer and Communication Sciences, Ecole Polytechnique Fédérale de Lausanne
Conference: nips 2023 (main track)
Keywords: Matrix factorization;Bayesian inference;rotation invariant estimators;random matrix theory;spherical integrals;replica method
Decision: Spotlight
Title: Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic Segmentation
Authors: Jiawei Fan, Chao Li, Xiaolong Liu, Meina Song, Anbang Yao
Affiliations: Intel Labs China; HoloMatic Technology Co. Ltd.; BUPT
Conference: nips 2023 (main track)
Keywords: Knowledge distillation;semantic segmentation;contrastive learning
Decision: Poster
Title: HoK3v3: an Environment for Generalization in Heterogeneous Multi-agent Reinforcement Learning
Affiliations: University of Electronic Science and technology; University of Science and Technology of China; Tsinghua University; Tencent AI Lab; Tencent Timi Studio
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Reinforcement learning;multi-agent reinforcement learning;competitive reinforcement learning
Decision: Reject
Title: Empowering Convolutional Neural Nets with MetaSin Activation
Authors: Farnood Salehi, Tunç Aydin, André Gaillard, Guglielmo Camporese, Yuxuan Wang
Affiliations: ETH Zürich; Disney Research | Studios; Disney Research | Studios, ETH Zürich; Disney Research | Studios, University of Padova
Conference: nips 2023 (main track)
Keywords: sin activation;image prediction;image resampling;monte-carlo denoising;knowledge distillation
Decision: Poster
Title: Towards Distribution-Agnostic Generalized Category Discovery
Authors: Jianhong Bai, Zuozhu Liu, Hualiang Wang, Ruizhe Chen, Lianrui Mu, Xiaomeng Li, Joey Tianyi Zhou, YANG FENG, Jian Wu, Haoji Hu
Affiliations: Angelalign Technology Inc.; The Hong Kong University of Science and Technology; Zhejiang University; Centre for Frontier AI Research, A*STAR
Conference: nips 2023 (main track)
Keywords: Generalized Category Discovery;Open-world Recognition;Long-tail Learning;Contrastive Learning
Decision: Poster
Title: DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
Authors: Haoran Ye, Jiarui Wang, Zhiguang Cao, Helan Liang, Yong Li
Affiliations: School of Computer Science & Technology, Soochow University; School of Computing and Information Systems, Singapore Management University; Department of Electronic Engineering, Tsinghua University
Conference: nips 2023 (main track)
Keywords: Neural Combinatorial Optimization;Ant Colony Optimization;Evolutionary algorithm;Meta-heuristic;Deep reinforcement learning;Learned heuristic measure;Neural local search;Generalization
Decision: Poster
Title: Learning non-Markovian Decision-Making from State-only Sequences
Authors: Aoyang Qin, Feng Gao, Qing Li, Song-Chun Zhu, Sirui Xie
Affiliations: Department of Computer Science, UCLA; Department of Automation, Tsinghua University; Beijing Institute for General Artificial Intelligence (BIGAI); School of Artificial Intelligence, Peking University; Department of Statistics, UCLA; Department of Automation, Tsinghua University; Beijing Institute for General Artificial Intelligence (BIGAI); Beijing Institute for General Artificial Intelligence (BIGAI)
Conference: nips 2023 (main track)
Keywords: Sequential Decision Making;Generative Model;Imitation Learning
Decision: Poster
Title: Semi-Supervised Domain Generalization with Known and Unknown Classes
Authors: Lei Zhang, Ji-Fu Li, Wei Wang
Affiliations: National Key Laboratory for Novel Software Technology, Nanjing University, China; School of Artificial Intelligence, Nanjing University, China
Conference: nips 2023 (main track)
Keywords: Domain Generalization;Semi-Supervised Learning;Out-of-Distribution Detection;Deep Learning
Decision: Spotlight
Title: IBA: Towards Irreversible Backdoor Attacks in Federated Learning
Authors: Thuy Dung Nguyen, Tuan Nguyen, Anh Tran, Khoa D Doan, Kok-Seng Wong
Affiliations: College of Engineering & Computer Science, VinUniversity, Hanoi, Vietnam; Department of Computer Science, Vanderbilt University, Nashville, TN 37212, USA; VinAI Research, Hanoi, Vietnam; VinUni-Illinois Smart Health Center, VinUniversity, Hanoi, Vietnam
Conference: nips 2023 (main track)
Keywords: Backdoor Attacks;Federated Learning;Durability;Imperceptibility;Stealthiness
Decision: Poster
Title: On Separate Normalization in Self-supervised Transformers
Authors: Xiaohui Chen, Yinkai Wang, Yuanqi Du, Soha Hassoun, Liping Liu
Affiliations: Department of Computer Science, Tufts University, Medford, MA 02155; Department of Computer Science, Cornell University, Ithaca, NY 14850
Conference: nips 2023 (main track)
Keywords: Transformer;Self-supervised Learning;Normalization
Decision: Poster
Title: Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator
Authors: Xiaolong Wang, Runsen Xu, Zhuofan Cui, Zeyu Wan, Yu Zhang
Affiliations: College of Control Science and Engineering, Zhejiang University; College of Control Science and Engineering, Zhejiang University; Key Laboratory of Collaborative sensing and autonomous unmanned systems of Zhejiang Province; The Chinese University of Hong Kong
Conference: nips 2023 (main track)
Keywords: Fine-Grained Cross-View Geo-Localization;Homography Estimation
Decision: Poster
Title: Expressive probabilistic sampling in recurrent neural networks
Authors: Shirui Chen, Linxing Jiang, Rajesh PN Rao, Eric Shea-Brown
Affiliations: Department of Applied Mathematics, University of Washington, Seattle; Department of Applied Mathematics, Computational Neuroscience Center, University of Washington, Seattle; Paul G. Allen School of Computer Science & Engineering and Center for Neurotechnology, University of Washington, Seattle; Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle
Conference: nips 2023 (main track)
Keywords: neural coding;probabilistic sampling;neural dynamics;recurrent neural network
Decision: Poster
Title: A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
Authors: Emile van Krieken, Thiviyan Thanapalasingam, Jakub Tomczak, Frank van Harmelen, Annette Ten Teije
Affiliations: Vrije Universiteit Amsterdam; Eindhoven University of Technology; University of Amsterdam; University of Edinburgh, Vrije Universiteit Amsterdam
Conference: nips 2023 (main track)
Keywords: Neurosymbolic Learning;Generative Modeling;Approximate Inference
Decision: Poster
Title: Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems
Authors: Samuel Hurault, Ulugbek Kamilov, Arthur Leclaire, Nicolas Papadakis
Affiliations: Washington University in St. Louis; Univ. Bordeaux, CNRS, INRIA, Bordeaux INP, IMB, UMR 5251; Univ. Bordeaux, CNRS, INRIA, Bordeaux INP, IMB, UMR 5251; LTCI, Télécom Paris, IP Paris
Conference: nips 2023 (main track)
Keywords: Plug-and-Play;Poisson Inverse Problems;Bregman distance;Proximal Gradient Descent;nonconvex and nonsmooth optimization;Poisson inverse problems
Decision: Poster
Title: Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection
Authors: Ruiying Lu, YuJie Wu, Long Tian, Dongsheng Wang, Bo Chen, Xiyang Liu, Ruimin Hu
Affiliations: Software Engineering Institute, Xidian University; National Key Laboratory of Radar Signal Processing, Xidian University; School of Cyber Engineering, Xidian University
Conference: nips 2023 (main track)
Keywords: Anomaly Detection;Transformer;Vector Quantization;Unsupervised Anomaly Detection
Decision: Poster
Title: Context-PIPs: Persistent Independent Particles Demands Spatial Context Features
Authors: Weikang Bian, Zhaoyang Huang, Zhaoyang Huang, Xiaoyu Shi, Yitong Dong, Yijin Li, Hongsheng Li
Affiliations: CUHK MMLab, Centre for Perceptual and Interactive Intelligence; CUHK MMLab; Zhejiang University
Conference: nips 2023 (main track)
Keywords: Point Tracking; Optical Flow; Video Correspondence; Computer Vision;
Decision: Spotlight
Title: No-regret Algorithms for Fair Resource Allocation
Authors: Abhishek Sinha, Ativ Joshi, Rajarshi Bhattacharjee, Cameron Musco, Mohammad Hajiesmaili
Affiliations: School of Technology and Computer Science, Tata Institute of Fundamental Research, Mumbai 400005, India; Manning College of Information and Computer Sciences, University of Massachusetts Amherst
Conference: nips 2023 (main track)
Keywords: Online Learning;Bandit Algorithms;Learning Theory
Decision: Poster
Title: AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator
Authors: Elysia Smyers, Sydney Katz, Anthony Corso, Mykel J Kochenderfer
Affiliations: Department of Computer Science, Stanford University; Department of Aeronautics and Astronautics, Stanford University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: aviation;distribution shift;closed-loop evaluation;object detection
Decision: Poster
Title: Counterfactual Generation with Identifiability Guarantees
Authors: Hanqi Yan, Lingjing Kong, Lin Gui, Yuejie Chi, Eric Xing, Yulan He, Kun Zhang
Affiliations: University of Warwick, King’s College London; Carnegie Mellon University, Mohamed Bin Zayed University of Artificial Intelligence; Carnegie Mellon University; University of Warwick, Mohamed Bin Zayed University of Artificial Intelligence; King’s College London
Conference: nips 2023 (main track)
Keywords: Causal Representation Learning;Identifiability;Counterfactual Generation;Latent variable models;Disentanglement.
Decision: Poster
Title: Demystifying Softmax Gating Function in Gaussian Mixture of Experts
Authors: Huy Nguyen, TrungTin Nguyen, Nhat Ho
Affiliations: Department of Statistics and Data Sciences, The University of Texas at Austin; Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK
Conference: nips 2023 (main track)
Keywords: Mixture of Experts;Maximum Likelihood Estimation;Voronoi Loss Function;Algebraic Geometry.
Decision: Spotlight
Title: GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction
Authors: Rui Yang, Lin Song, Yanwei Li, Sijie Zhao, Yixiao Ge, Xiu Li, Ying Shan
Affiliations: Tsinghua Shenzhen International Graduate School, Tsinghua University; Chinese University of Hong Kong; Tencent AI Lab
Conference: nips 2023 (main track)
Keywords: multimodality;foundation models;tool usage
Decision: Poster