hunoutl/paperlists huggingface dataset:
Title: Lightweight Vision Transformer with Bidirectional Interaction
Authors: Qihang Fan, Huaibo Huang, Xiaoqiang Zhou, Ran He
Affiliations: MAIS & CRIPAC, Institute of Automation, Chinese Academy of Sciences, Beijing, China; MAIS & CRIPAC, Institute of Automation, Chinese Academy of Sciences, Beijing, China; University of Science and Technology of China, Hefei, China; MAIS & CRIPAC, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
Conference: nips 2023 (main track)
Keywords: Vision Transformer;Lightweight Vision Backbone;Convolution Neural Network
Decision: Poster
Title: Direct Diffusion Bridge using Data Consistency for Inverse Problems
Authors: Hyungjin Chung, Jeongsol Kim, Jong Chul Ye
Affiliations: Graduate School of AI, Korea Advanced Institute of Science and Technology (KAIST); Dept. of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST)
Conference: nips 2023 (main track)
Keywords: Diffusion models;Inverse problems;Diffusion bridge
Decision: Poster
Title: On the Exploitability of Instruction Tuning
Authors: Manli Shu, Jiongxiao Wang, Chen Zhu, Chen Zhu, Jonas Geiping, Chaowei Xiao, Tom Goldstein
Affiliations: University of Wisconsin-Madison; Google Deepmind; University of Maryland
Conference: nips 2023 (main track)
Keywords: Trustworthy machine learning;Large language models;Supervised fine-tuning;instruction tuning
Decision: Poster
Title: Block-Coordinate Methods and Restarting for Solving Extensive-Form Games
Authors: Darshan Chakrabarti, Jelena Diakonikolas, Christian Kroer
Affiliations: Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI 53706; IEOR Department, Columbia University, New York, NY 10025
Conference: nips 2023 (main track)
Keywords: extensive-form games;first-order methods;coordinate descent
Decision: Poster
Title: Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach
Authors: Haoxuan Li, Kunhan Wu, Chunyuan Zheng, Yanghao Xiao, Hao Wang, Zhi Geng, Fuli Feng, Xiangnan He, Peng Wu
Affiliations: University of Chinese Academy of Sciences; Beijing Technology and Business University; Peking University; Carnegie Mellon University; University of Science and Technology of China; Zhejiang University; University of California, San Diego
Conference: nips 2023 (main track)
Keywords: Debiased recommender system;Multi-task learning;Causal inference
Decision: Poster
Title: Learning to Receive Help: Intervention-Aware Concept Embedding Models
Authors: Mateo Espinosa Zarlenga, Katie Collins, Krishnamurthy Dvijotham, Adrian Weller, Zohreh Shams, Mateja Jamnik
Affiliations: University of Cambridge; Google DeepMind; University of Cambridge, Alan Turing Institute
Conference: nips 2023 (main track)
Keywords: Explainable Artificial Intelligence;Concept Bottleneck Models;Concept-based Explainability;Interpretability;XAI;Concept Interventions
Decision: Spotlight
Title: Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions
Authors: Samantha Chen, Yusu Wang
Affiliations: Department of Computer Science Engineering, University of California - San Diego; Halıcıoğlu Data Science Institute, University of California - San Diego
Conference: nips 2023 (main track)
Keywords: neural networks;Wasserstein distance;universal approximation;optimal transport
Decision: Poster
Title: Effectively Learning Initiation Sets in Hierarchical Reinforcement Learning
Authors: Akhil Bagaria, Ben Abbatematteo, Ben Abbatematteo, Omer Gottesman, Matt Corsaro, Sreehari Rammohan, George Konidaris
Affiliations: Amazon, New York, NY, USA.; Brown University, Providence, RI, USA.
Conference: nips 2023 (main track)
Keywords: hierarchical reinforcment learning
Decision: Poster
Title: On the Variance, Admissibility, and Stability of Empirical Risk Minimization
Authors: Gil Kur, Eli Putterman, Alexander Rakhlin
Affiliations: Mathematics Department, Tel Aviv University; EECS, MIT; BCS & IDSS, MIT
Conference: nips 2023 (main track)
Keywords: empirical risk minimization;bias-variance decomposition;admissibility
Decision: Spotlight
Title: When Does Confidence-Based Cascade Deferral Suffice?
Authors: Wittawat Jitkrittum, Neha Gupta, Aditya Menon, Harikrishna Narasimhan, Ankit Rawat, Sanjiv Kumar
Affiliations: Google Research, New York
Conference: nips 2023 (main track)
Keywords: cascades;deferral rules;adaptive computation;model confidence
Decision: Poster
Title: Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms
Authors: Peiyao Xiao, Hao Ban, Hao Ban, Kaiyi Ji
Affiliations: Department of CSE, University at Buffalo; Zuoyi Technology
Conference: nips 2023 (main track)
Keywords: Multi-objective optimization;multi-task leaning;stochastic algorithms;convergence and complexity;Pareto stationarity
Decision: Poster
Title: Object-centric Learning with Cyclic Walks between Parts and Whole
Authors: Ziyu Wang, Mike Zheng Shou, Mengmi Zhang
Affiliations: Deep NeuroCognition Lab, CFAR and I2R, Agency for Science, Technology and Research, Singapore; Nanyang Technological University, Singapore; Show Lab, National University of Singapore, Singapore; Show Lab, National University of Singapore, Singapore; Deep NeuroCognition Lab, CFAR and I2R, Agency for Science, Technology and Research, Singapore; Nanyang Technological University, Singapore
Conference: nips 2023 (main track)
Keywords: object representation learning;slot attention;object-centric;contrastive random walks
Decision: Poster
Title: Generalization in the Face of Adaptivity: A Bayesian Perspective
Authors: Moshe Shenfeld, Katrina Ligett
Affiliations: Department of Computer Science, The Hebrew University of Jerusalem; Department of Computer Science, Federmann Center for the Study of Rationality, The Hebrew University of Jerusalem
Conference: nips 2023 (main track)
Keywords: Differential Privacy;Adaptive Data Analysis
Decision: Spotlight
Title: CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image Steganography
Authors: Jiwen Yu, Xuanyu Zhang, Youmin Xu, Jian Zhang
Affiliations: Peking University Shenzhen Graduate School; Peking University Shenzhen Graduate School, Peng Cheng Laboratory
Conference: nips 2023 (main track)
Keywords: Diffusion models;image steganography;Stable Diffusion;coverless steganography
Decision: Poster
Title: Binary Classification with Confidence Difference
Authors: Wei Wang, Lei Feng, Yuchen Jiang, Gang Niu, Min-Ling Zhang, Masashi Sugiyama
Affiliations: Southeast University, Nanjing, China; Nanyang Technological University, Singapore; RIKEN Center for Advanced Intelligence Project, Tokyo, Japan; The University of Tokyo, Chiba, Japan; Alibaba Group, Beijing, China; The University of Tokyo, Chiba, Japan; RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
Conference: nips 2023 (main track)
Keywords: Weakly supervised learning;binary classification;unbiased risk estimator
Decision: Poster
Title: Cal-DETR: Calibrated Detection Transformer
Authors: Muhammad Akhtar Munir, Salman Khan, Muhammad Haris Khan, Mohsen Ali, Fahad Shahbaz Khan
Affiliations: Mohamed bin Zayed University of AI; Information Technology University; Australian National University; Linköping University
Conference: nips 2023 (main track)
Keywords: Model Calibration;Object Detection;Detection Transformers;Uncertainty
Decision: Poster
Title: Reversible and irreversible bracket-based dynamics for deep graph neural networks
Authors: Anthony Gruber, Kookjin Lee, Nathaniel Trask
Affiliations: School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA. USA; Center for Computing Research, Sandia National Laboratories, Albuquerque, NM. USA; School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ. USA
Conference: nips 2023 (main track)
Keywords: graph neural networks;structure preserving machine learning;neural ordinary differential equations;hamiltonian dynamics;metriplectic dynamics
Decision: Poster
Title: MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data
Authors: Tianyu Liu, Yuge Wang, Rex Ying, Hongyu Zhao
Affiliations: Yale University
Conference: nips 2023 (main track)
Keywords: Multimodal Learning; Representation Learning; Graph Neural Network; Similarity Learning; Contrastive Learning; Computational Biology and Bioinformatics; Single-cell genomics
Decision: Poster
Title: Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image Synthesis
Authors: Zhiyu Jin, Xuli Shen, Bin Li, Xiangyang Xue
Affiliations: Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, UniDT Technology; Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University
Conference: nips 2023 (main track)
Keywords: Text-to-Image Synthesis;Variable-Sized Image Synthesis;Entropy
Decision: Poster
Title: Adaptive Selective Sampling for Online Prediction with Experts
Authors: Rui Castro, Fredrik Hellström, Tim van Erven
Affiliations: University College London; University of Amsterdam; Eindhoven University of Technology, Eindhoven Artificial Intelligence Systems Institute (EAISI)
Conference: nips 2023 (main track)
Keywords: Online learning;prediction with experts;selective sampling;active learning
Decision: Poster
Title: Structured State Space Models for In-Context Reinforcement Learning
Authors: Chris Lu, Yannick Schroecker, Albert Gu, Emilio Parisotto, Jakob Foerster, Satinder Singh, Feryal Behbahani
Affiliations: DeepMind; FLAIR, University of Oxford
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Meta-Learning;State Space Models
Decision: Poster
Title: Learning Sample Difficulty from Pre-trained Models for Reliable Prediction
Authors: Peng Cui, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu
Affiliations: Bosch Center for Artificial Intelligence, University of Tübingen; Dept. of Comp. Sci. & Tech., Institute for AI, BNRist Center, THBI Lab, Tsinghua-Bosch Joint ML Center, Tsinghua University, Beijing, 100084 China; Qing Yuan Research Institute, Shanghai Jiao Tong University
Conference: nips 2023 (main track)
Keywords: uncertainty calibration;sample difficulty;reliable prediction
Decision: Poster
Title: Breaking the Communication-Privacy-Accuracy Tradeoff with $f$-Differential Privacy
Authors: Richeng Jin, Zhonggen Su, caijun zhong, Zhaoyang Zhang, Tony Quek, Huaiyu Dai
Affiliations: North Carolina State University; Singapore University of Technology and Design; Zhejiang University
Conference: nips 2023 (main track)
Keywords: Differential privacy;federated data analytics;discrete valued-mechanism;distributed mean estimation
Decision: Poster
Title: What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement.
Authors: ‪Yotam Alexander‬‏, Nimrod De La Vega, Noam Razin, Nadav Cohen
Affiliations: Tel Aviv University
Conference: nips 2023 (main track)
Keywords: Deep Learning;Locally Connected Neural Networks;Data Distributions;Quantum Entanglement;Tensor Networks
Decision: Spotlight
Title: Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models
Authors: Shuo Chen, Jindong Gu, Zhen Han, Yunpu Ma, Philip Torr, Volker Tresp
Affiliations: Institute of Informatics, LMU Munich; Siemens AG; Department of Engineering Science, University of Oxford; Institute of Informatics, LMU Munich; Institute of Informatics, LMU Munich; Munich Center for Machine Learning (MCML)
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Robustness Benchmark;Multimodal Foundation Models;Model Adaptation
Decision: Poster
Title: Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses
Authors: Elena Sizikova, Niloufar Saharkhiz, Diksha Sharma, Miguel Lago, Berkman Sahiner, Jana Delfino, Aldo Badano
Affiliations: Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD 20993 USA
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: synthetic data; medical imaging; AI testing; digital twins
Decision: Poster
Title: Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning
Authors: Hanlin Zhu, Paria Rashidinejad, Jiantao Jiao
Affiliations: EECS, UC Berkeley; EECS and Statistics, UC Berkeley
Conference: nips 2023 (main track)
Keywords: offline RL;actor-critic;l_2 single-policy concentrability;average bellman error
Decision: Poster
Title: Recovering from Out-of-sample States via Inverse Dynamics in Offline Reinforcement Learning
Authors: Ke Jiang, Jia-Yu Yao, Xiaoyang Tan
Affiliations: College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics; MIIT Key Laboratory of Pattern Analysis and Machine Intelligence; School of Electronic and Computer Engineering, Peking University
Conference: nips 2023 (main track)
Keywords: Offline reinforcement learning;state distributional shift;state recovery;inverse dynamics model
Decision: Poster
Title: AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback
Authors: Yann Dubois, Chen Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy Liang, Tatsunori Hashimoto
Affiliations: Stanford; University of Toronto
Conference: nips 2023 (main track)
Keywords: Instruction-Following;Reinforcement Learning from Human Feedback;Artificial General Intelligence;Large Language Models
Decision: Spotlight
Title: Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification
Authors: Neel Guha, Mayee Chen, Kush Bhatia, Azalia Mirhoseini, Frederic Sala, Christopher Ré
Affiliations: Stanford University; Anthropic; University of Wisconsin-Madison
Conference: nips 2023 (main track)
Keywords: language models;prompting;embeddings;weak supervision
Decision: Poster
Title: Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness
Authors: Chung-En Tsai, Ying-Ting Lin, Yen-Huan Li
Affiliations: Department of Computer Science and Information Engineering, Department of Mathematics, Center for Quantum Science and Engineering, National Taiwan University; Department of Computer Science and Information Engineering, National Taiwan University
Conference: nips 2023 (main track)
Keywords: Online portfolio selection;small-loss bound;gradual-variation bound;second-order bound;optimistic FTRL with self-concordant regularizers
Decision: Poster
Title: Operator Learning with Neural Fields: Tackling PDEs on General Geometries
Authors: Louis Serrano, Lise Le Boudec, Armand Kassaï Koupaï, Thomas X Wang, Yuan Yin, Jean-Noël Vittaut, Patrick Gallinari
Affiliations: Sorbonne Université, CNRS, ISIR, 75005 Paris, France; Sorbonne Université, CNRS, LIP6, 75005 Paris, France; Sorbonne Université, CNRS, ISIR, 75005 Paris, France; Criteo AI Lab, Paris, France
Conference: nips 2023 (main track)
Keywords: PDEs;Physics;Operator Learning;Deep Learning;Spatiotemporal
Decision: Poster
Title: WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts
Authors: Elliott Ash, Naman Goel, Nianyun Li, Claudia Marangon, Peiyao Sun
Affiliations: Department of Computer Science, University of Oxford; Center for Law & Economics, ETH Zurich
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Algorithmic Fairness;Machine Learning;Dataset;Criminal Justice
Decision: Poster
Title: Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations
Authors: Guanren Qiao, Guiliang Liu, Pascal Poupart, Zhiqiang Xu
Affiliations: School of Data Science, The Chinese University of Hong Kong, Shenzhen; University of Waterloo, Vector Institute; Mohamed bin Zayed University of Artificial Intelligence
Conference: nips 2023 (main track)
Keywords: Inverse Constrained Reinforcement Learning;Learning from Demonstrations;Muti-Modal Learning
Decision: Poster
Title: Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures
Authors: David Loiseaux, Luis Scoccola, Mathieu Carrière, Magnus Bakke Botnan, Steve OUDOT
Affiliations: DataShape, Centre Inria d’Université Côte d’Azur; Mathematics, University of Oxford; GeomeriX, Inria Saclay and École polytechnique; Mathematics, Vrije Universiteit Amsterdam
Conference: nips 2023 (main track)
Keywords: topological data analysis;multiparameter persistent homology;kernel methods;optimal transport
Decision: Poster
Title: Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach
Authors: Sangwoong Yoon, Young-Uk Jin, Yung-Kyun Noh, Frank Park
Affiliations: Samsung Electronics; Seoul National University, Saige Research; Hanyang University, Korea Institute for Advanced Study; Korea Institute for Advanced Study
Conference: nips 2023 (main track)
Keywords: Energy-based Models;Anomaly Detection;Generative Models;Out-of-Distribution Detection;Recovery Likelihood
Decision: Poster
Title: Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback
Authors: TaeHo Yoon, Kibeom Myoung, Keon Lee, Jaewoong Cho, Albert No, Ernest Ryu
Affiliations: Department of Electronic and Electrical Engineering, Hongik University; Department of Mathematical Science, Seoul National University; Interdisciplinary Program in Artificial Intelligence, Seoul National University; KRAFTON; Department of Mathematical Science, Seoul National University
Conference: nips 2023 (main track)
Keywords: Generative models;Diffusion probabilistic models;Controlled generation;Human Feedback;RLHF
Decision: Poster
Title: Unsupervised Behavior Extraction via Random Intent Priors
Authors: Hao Hu, Yiqin Yang, Jianing Ye, Ziqing Mai, Chongjie Zhang
Affiliations: Institute for Interdisciplinary Information Sciences, Tsinghua University; Department of Computer Science & Engineering, Washington University in St. Louis; Department of Automation, Tsinghua University
Conference: nips 2023 (main track)
Keywords: offline RL;reward-free;behavior extraction
Decision: Poster
Title: Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias
Authors: Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán-Casas, Rossella Arcucci
Affiliations: The Ohio State University; The Chinese University of Hong Kong, Shenzhen; Peking University; The Hong Kong University of Science and Technology; Imperial College London
Conference: nips 2023 (main track)
Keywords: Medical Vision Langauge Pretraining;Cross-lingual;Language bias
Decision: Poster
Title: Attention as Implicit Structural Inference
Authors: Ryan Singh, Christopher L Buckley
Affiliations: School of Engineering and Informatics, University of Sussex.; School of Engineering and Informatics, University of Sussex. VERSES AI Research Lab, Los Angeles, CA, USA.
Conference: nips 2023 (main track)
Keywords: Attention;Structural Inference;Variational Inference;Predictive Coding;Graphical Models
Decision: Poster
Title: A Unified Detection Framework for Inference-Stage Backdoor Defenses
Authors: Xun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding
Affiliations: School of Statistics, University of Minnesota; Department of ECE, University of Minnesota; Cisco Research; Carlson School of Management, University of Minnesota
Conference: nips 2023 (main track)
Keywords: Backdoor attacks;Backdoor Defense;Security for AI
Decision: Poster
Title: Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares
Authors: Christian Kümmerle, Christian Kümmerle, Johannes Maly
Affiliations: Department of Computer Science, University of North Carolina at Charlotte, Charlotte, NC 28223, USA; Department of Mathematics, Ludwig-Maximilians-Universität München, 80799 Munich, Germany and Munich Center for Machine Learning (MCML)
Conference: nips 2023 (main track)
Keywords: low-rank models;sparsity;iteratively reweighted least squares;non-convex optimization;quadratic convergence;simultaneously structured data
Decision: Poster
Title: Towards a fuller understanding of neurons with Clustered Compositional Explanations
Authors: Biagio La Rosa, Leilani Gilpin, Roberto Capobianco
Affiliations: Sapienza University of Rome, Rome, IT 00185; Sony AI, Schlieren, CH 8952; University of California, Santa Cruz, Santa Cruz, CA 95060
Conference: nips 2023 (main track)
Keywords: compositional explanations;network dissection;explainable artificial intelligence;interpretability
Decision: Poster
Title: GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies
Authors: Takahiro Mimori, Michiaki Hamada
Affiliations: Waseda University, RIKEN AIP; Waseda University, AIST-Waseda CBBD-OIL, Nippon Medical School
Conference: nips 2023 (main track)
Keywords: phylogenetic inference;variational inference;control variates;hyperbolic space
Decision: Poster
Title: Language Models are Weak Learners
Authors: Hariharan Manikandan, Yiding Jiang, J. Zico Kolter
Affiliations: Carnegie Mellon University; Carnegie Mellon University, Bosch Center for AI
Conference: nips 2023 (main track)
Keywords: language model;prompting;tabular data;summarization;boosting;adaboost
Decision: Poster
Title: Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement
Authors: Hui Yuan, Kaixuan Huang, Chengzhuo Ni, Minshuo Chen, Mengdi Wang
Affiliations: Department of Electrical and Computer Engineering, Princeton University
Conference: nips 2023 (main track)
Keywords: Theory;Diffusion Model;Reward Optimization;Low-dimensional Data;Distribution estimation
Decision: Poster
Title: Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization
Authors: Jinbiao Chen, Jiahai Wang, Zizhen Zhang, Zhiguang Cao, Te Ye, Siyuan Chen
Affiliations: School of Computer Science and Engineering, Sun Yat-sen University, P.R. China; School of Computer Science and Engineering, Sun Yat-sen University, P.R. China; Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Sun Yat-sen University, P.R. China; Guangdong Key Laboratory of Big Data Analysis and Processing, Guangzhou, P.R. China; School of Computing and Information Systems, Singapore Management University, Singapore
Conference: nips 2023 (main track)
Keywords: neural heuristic;meta learning;deep reinforcement learning;multi-objective combinatorial optimization
Decision: Poster
Title: Analyzing and Improving Greedy 2-Coordinate Updates For Equality-Constrained Optimization via Steepest Descent in the 1-Norm
Authors: Varshina Amrutha
Affiliations: Afﬁliation
Conference: nips 2023 (main track)
Keywords: Coordinate descent;SVM;LIBSVM;Steepest descent;convex optimization
Decision: Reject
Title: trajdata: A Unified Interface to Multiple Human Trajectory Datasets
Authors: Boris Ivanovic, Guanyu Song, Igor Gilitschenski, Marco Pavone
Affiliations: University of Toronto; Stanford University; NVIDIA Research
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: multi-dataset benchmarking;data standardization;autonomous vehicles;pedestrian motion
Decision: Poster
Title: Common Ground in Cooperative Communication
Authors: Xiaoran Hao, Yash Jhaveri, Patrick Shafto
Affiliations: Department of Math and Computer Science, Rutgers University–Newark; Department of Math and Computer Science, Rutgers University–Newark; School of Mathematics, Institute for Advanced Study, Princeton
Conference: nips 2023 (main track)
Keywords: Cooperative Communication;Common Ground;Bayesian Theory
Decision: Spotlight
Title: A Spectral Theory of Neural Prediction and Alignment
Authors: Abdulkadir Canatar, Abdulkadir Canatar, Jenelle Feather, Albert Wakhloo, SueYeon Chung
Affiliations: Zuckerman Institute, Columbia Univeristy; Center for Neural Science, New York University; Center for Computational Neuroscience, Flatiron Institute
Conference: nips 2023 (main track)
Keywords: computational neuroscience;neural manifolds;neuro-AI;statistical physics;representational geometry
Decision: Spotlight