hunoutl/paperlists huggingface dataset:
Title: An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination
Authors: Xue Yan, Jiaxian Guo, Xingzhou Lou, Jun Wang, Haifeng Zhang, Yali Du
Affiliations: University of Tokyo, Japan; University College London, UK; King’s College London, UK; Institute of Automation, Chinese Academy of Science, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, China
Conference: nips 2023 (main track)
Keywords: Zero-Shot Coordination;Human-AI coordination;Training Efficiency;Partner Modeling
Decision: Poster
Title: When is Agnostic Reinforcement Learning Statistically Tractable?
Authors: Zeyu Jia, Gene Li, Alexander Rakhlin, Ayush Sekhari, Nati Srebro
Affiliations: MIT; TTIC
Conference: nips 2023 (main track)
Keywords: Agnostic Reinforcement Learning;Sample Complexity;Learning Theory;Complexity Measure
Decision: Poster
Title: Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks
Authors: Hao-Kai Zhang, Chenghong Zhu, Mingrui Jing, Xin Wang
Affiliations: Institute for Quantum Computing, Baidu Research, Beijing, China; Institute for Advanced Study, Tsinghua University, Beijing 100084, China; Thrust of Artificial Intelligence, Information Hub, Hong Kong University of Science and Technology (Guangzhou), China
Conference: nips 2023 (main track)
Keywords: quantum neural networks;quantum state learning;quantum computing;quantum machine learning;quantum optimization
Decision: Poster
Title: Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias
Authors: Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang
Affiliations: University of Washington; UIUC; Google Research; Georgia Tech
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: training data generation;large language model;text classification
Decision: Poster
Title: Into the Single Cell Multiverse: an End-to-End Dataset for Procedural Knowledge Extraction in Biomedical Texts
Authors: Ruth Dannenfelser, Jeffrey Zhong, Ran Zhang, Vicky Yao
Affiliations: Department of Computer Science, Rice University; Department of Genome Sciences, University of Washington
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: information extraction;relationship extraction;named entity recognition;biomedical;single cell;bioinformatic tools;tissue;cell type
Decision: Spotlight
Title: Humans in Kitchens: A Dataset for Multi-Person Human Motion Forecasting with Scene Context
Authors: Julian Tanke, Oh-Hun Kwon, Felix B Mueller, Andreas Doering, Jürgen Gall
Affiliations: University of Bonn; University of Bonn, Lamarr Institute for Machine Learning and Artificial Intelligence; University of Bonn, Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: 3D Human Motion;3D scene environment
Decision: Poster
Title: AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways via Contrastive Learning
Authors: Mohammadamin Tavakoli, Pierre Baldi, Ann Marie Carlton, Yin Ting Chiu, Alexander Shmakov, David Van Vranken
Affiliations: Department of Computer Science, University of California, Irvine; Department of Chemistry, University of California, Irvine
Conference: nips 2023 (main track)
Keywords: Chemistry;Reactions;Contrastive;Radical;Graph
Decision: Poster
Title: Towards A Richer 2D Understanding of Hands at Scale
Authors: Tianyi Cheng, Dandan Shan, Ayda Hassen, Richard Higgins, David Fouhey
Affiliations: New York University; Addis Ababa University; University of Michigan
Conference: nips 2023 (main track)
Keywords: human-object interaction; hand object detection; hand detection
Decision: Poster
Title: Language Model Alignment with Elastic Reset
Authors: Michael Noukhovitch, Samuel Lavoie, Florian Strub, Aaron Courville
Affiliations: Mila, Université de Montréal; Google Deepmind; Mila, Université de Montréal, CIFAR AI Chair
Conference: nips 2023 (main track)
Keywords: reinforcement learning from human feedback (rlhf);language
Decision: Poster
Title: Mask Propagation for Efficient Video Semantic Segmentation
Authors: Yuetian Weng, Mingfei Han, Haoyu He, Mingjie Li, Lina Yao, Xiaojun Chang, Bohan Zhuang
Affiliations: ZIP Lab, Monash University; Baidu Inc.; ReLER, AAII, UTS; Mohamed bin Zayed University of AI; ReLER, AAII, UTS; Data61, CSIRO; ZIP Lab, Monash University; ReLER, AAII, UTS; Data61, CSIRO
Conference: nips 2023 (main track)
Keywords: Video Semantic Segmentation; Inference Efficiency
Decision: Poster
Title: Bayesian Optimization with Cost-varying Variable Subsets
Authors: Sebastian Tay, Chuan Sheng Foo, Daisuke Urano, Richalynn Leong, Bryan Kian Hsiang Low
Affiliations: Temasek Life Sciences Laboratory, Singapore; Institute for Infocomm Research (I2R), A*STAR, Singapore; Centre for Frontier AI Research (CFAR), A*STAR, Singapore; Department of Computer Science, National University of Singapore; Department of Computer Science, National University of Singapore; Institute for Infocomm Research (I2R), A*STAR, Singapore
Conference: nips 2023 (main track)
Keywords: Bayesian optimization;Gaussian processes
Decision: Poster
Title: Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?
Authors: Arjun Majumdar, Karmesh Yadav, Sergio Arnaud, Jason Ma, Claire Chen, Sneha Silwal, Aryan Jain, Vincent-Pierre Berges, Tingfan Wu, Jay Vakil, Pieter Abbeel, Jitendra Malik, Dhruv Batra, Yixin Lin, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier
Affiliations: Georgia Tech; UPenn; Stanford University; Meta AI; UC Berkeley
Conference: nips 2023 (main track)
Keywords: representation learning;pre-training;foundation models;embodied AI;reinforcement learning;imitation learning
Decision: Poster
Title: Explaining Predictive Uncertainty with Information Theoretic Shapley Values
Authors: David Watson, Joshua O'Hara, Niek Tax, Richard Mudd, Ido Guy
Affiliations: King’s College London; Meta, Central Applied Science
Conference: nips 2023 (main track)
Keywords: Explainable AI;interpretable ML;feature attributions;information theory;Shapley values
Decision: Poster
Title: $\mathcal{M}^4$: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models
Authors: Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai, Himabindu Lakkaraju, Haoyi Xiong
Affiliations: New Jersey Institute of Technology; Harvard University; Baidu Inc.
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: explanation;attribution;XAI;faithfulness evaluation;benchmark
Decision: Poster
Title: Causes and Effects of Unanticipated Numerical Deviations in Neural Network Inference Frameworks
Authors: Alex Schlögl, Nora Hofer, Rainer Böhme
Affiliations: Department of Computer Science, Universität Innsbruck, 6020 Innsbruck, Austria
Conference: nips 2023 (main track)
Keywords: machine learning;security;reproducibility;forensics
Decision: Poster
Title: VPGTrans: Transfer Visual Prompt Generator across LLMs
Authors: Ao Zhang, Hao Fei, Yuan Yao, Wei Ji, Li Li, Zhiyuan Liu, Tat-Seng Chua
Affiliations: Department of Computer Science and Technology, Tsinghua University; NExT++ Lab, School of Computing, National University of Singapore
Conference: nips 2023 (main track)
Keywords: Visual Prompt Generator;Efficient Transfer;Multimodality
Decision: Poster
Title: Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL
Authors: Yang Yue, Rui Lu, Bingyi Kang, Shiji Song, Gao Huang
Affiliations: Department of Automation, BNRist, Tsinghua University; ByteDance Inc.
Conference: nips 2023 (main track)
Keywords: Offline RL;Theory
Decision: Poster
Title: QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules
Authors: Haiyang Yu, Meng Liu, Youzhi Luo, Alex Strasser, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
Affiliations: Texas A&M University, College Station, TX 77843
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: quantum chemistry;dataset;equivariant networks;machine learning;deep learning;graph neural networks;density functional theory
Decision: Poster
Title: No-Regret Learning in Dynamic Competition with Reference Effects Under Logit Demand
Authors: Mengzi Amy Guo, Donghao Ying, Javad Lavaei, Zuo-Jun Shen
Affiliations: IEOR Department, UC Berkeley
Conference: nips 2023 (main track)
Keywords: no-regret learning;price competition;reference effect;last-iterate convergence
Decision: Poster
Title: Hierarchical clustering with dot products recovers hidden tree structure
Authors: Annie Gray, Alexander Modell, Patrick Rubin-Delanchy, Nick Whiteley
Affiliations: Department of Mathematics, Imperial College London, UK; School of Mathematics, University of Bristol, UK
Conference: nips 2023 (main track)
Keywords: agglomerative clustering;generative model;graphical model;hierarchical clustering;high-dimensional data
Decision: Spotlight
Title: IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval
Authors: Haixin Wang, Hao Wu, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo
Affiliations: University of California, Los Angeles; University of Science and Technology of China; Terminus Group; Peking University
Conference: nips 2023 (main track)
Keywords: domain adaption;binary descriptor;causal inference
Decision: Poster
Title: COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs
Authors: Tiep Le, VASUDEV LAL, Phillip Howard
Affiliations: Intel Labs
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Counterfactuals; Data Augmentation; Multimodal Models; Transformers; Diffusion Models; Cross Attention Control; Prompt-to-Prompt
Decision: Poster
Title: Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training
Authors: Zhenyi Wang, Zhenyi Wang, Li Shen, Tongliang Liu, Tiehang Duan, Yanjun Zhu, Donglin Zhan, DAVID DOERMANN, Mingchen Gao
Affiliations: Columbia University, USA; University of Maryland, College Park, USA; Northeastern University, USA; University at Buffalo, USA; West Virginia University, USA; JD Explore Academy, China; The University of Sydney, Australia
Conference: nips 2023 (main track)
Keywords: Data-Free Model Extraction; Defense
Decision: Poster
Title: AVIS: Autonomous Visual Information Seeking with Large Language Model Agent
Authors: Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David Ross, Cordelia Schmid, Alireza Fathi
Affiliations: University of California, Los Angeles; Google Research
Conference: nips 2023 (main track)
Keywords: large language model;visual question answering;dynamic decision making;Tool augmented LLM
Decision: Poster
Title: Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation
Authors: Berivan Isik, Wei-Ning Chen, Ayfer Ozgur, Tsachy Weissman, Albert No
Affiliations: Stanford University; Hongik University
Conference: nips 2023 (main track)
Keywords: distributed mean estimation;privacy;compression;communication;federated analytics.
Decision: Poster
Title: Change point detection and inference in multivariate non-parametric models under mixing conditions
Authors: Carlos Misael Madrid Padilla, Haotian Xu, Daren Wang, OSCAR HERNAN MADRID PADILLA, Yi Yu
Affiliations: Department of Mathematics, University of Notre Dame; Department of Statistics, University of Warwick; Department of Statistics, University of California, Los Angeles; Department of Statistics, University of Notre Dame
Conference: nips 2023 (main track)
Keywords: Multivariate; Nonparametric; Change point inference; short range dependence; Long-run variance; Confidence interval.
Decision: Poster
Title: AbDiffuser: full-atom generation of in-vitro functioning antibodies
Authors: Karolis Martinkus, Jan Ludwiczak, WEI-CHING LIANG, Julien Lafrance-Vanasse, Isidro Hotzel, Arvind Rajpal, Yan Wu, Kyunghyun Cho, Richard Bonneau, Vladimir Gligorijevic, Andreas Loukas
Affiliations: Prescient Design, Genentech, Roche; Prescient Design, Genentech, Roche4NYU; Antibody Engineering, Genentech, Roche
Conference: nips 2023 (main track)
Keywords: antibody generation;diffusion;equivariance
Decision: Spotlight
Title: Long-Term Fairness with Unknown Dynamics
Authors: Tongxin Yin, Reilly Raab, Mingyan Liu, Yang Liu
Affiliations: Electrical and Computer Engineering, University of Michigan, Ann Arbor, MI 48109; Computer Science and Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064; University of California, Santa Cruz, ByteDance Research, Santa Cruz, CA 95064
Conference: nips 2023 (main track)
Keywords: Long-term Fairness;Dynamics;Reinforcement Learning
Decision: Poster
Title: Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning
Authors: Francesca Bartolucci, Emmanuel de Bézenac, Bogdan Raonic, Roberto Molinaro, Siddhartha Mishra, Rima Alaifari
Affiliations: Delft University of Technology, Netherlands; Seminar for Applied Mathematics, ETH, Zurich, Switzerland; ETH AI Center, Zurich, Switzerland
Conference: nips 2023 (main track)
Keywords: Operator Learning;Neural Operators;PDEs;Frame theory;Sampling theory
Decision: Poster
Title: Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative MARL
Authors: Zhiwei Xu, Bin Zhang, dapeng li, Guangchong Zhou, Zeren Zhang, Guoliang Fan
Affiliations: Institute of Automation, Chinese Academy of Sciences; School of Artificial Intelligence, University of Chinese Academy of Sciences
Conference: nips 2023 (main track)
Keywords: Multi-Agent Reinforcement Learning;Individual Global Max
Decision: Poster
Title: Statistical and Computational Trade-off in Multi-Agent Multi-Armed Bandits
Authors: Filippo Vannella, Alexandre Proutiere, Jaeseong Jeong
Affiliations: Ericsson Research, Stockholm, Sweden; KTH and Ericsson Research, Stockholm, Sweden; KTH, Stockholm, Sweden
Conference: nips 2023 (main track)
Keywords: Multi-Agent Multi-Armed Bandits;Multi-Armed Bandits;Regret Minimization
Decision: Poster
Title: Tempo Adaptation in Non-stationary Reinforcement Learning
Authors: Hyunin Lee, Yuhao Ding, Jongmin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi
Affiliations: UC Berkeley, Berkeley, CA 94709; Virginia Tech, Blacksburg, VA 24061
Conference: nips 2023 (main track)
Keywords: Non-stationary RL;Reinforcement Learning
Decision: Poster
Title: Order Matters in the Presence of Dataset Imbalance for Multilingual Learning
Authors: Dami Choi, Derrick Xin, Hamid Dadkhahi, Justin Gilmer, Ankush Garg, Orhan Firat, Chih-Kuan Yeh, Andrew Dai, Behrooz Ghorbani
Affiliations: Google Deepmind; U. Toronto & Vector Institute; OpenAI; Google Research
Conference: nips 2023 (main track)
Keywords: Multitask Optimization;Multilingual;Pre-training;Language Models;Language Sampling;Low Resource Languages;Overfitting
Decision: Poster
Title: On student-teacher deviations in distillation: does it pay to disobey?
Authors: Vaishnavh Nagarajan, Aditya Menon, Srinadh Bhojanapalli, Hossein Mobahi, Sanjiv Kumar
Affiliations: Google Research
Conference: nips 2023 (main track)
Keywords: knowledge distillation;regularization;understanding;underfitting;theory
Decision: Poster
Title: Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research
Authors: Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp
Affiliations: Google DeepMind; Waymo Research
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: simulator;autonomous driving;planning;behavior prediction;reinforcement learning;imitation learning
Decision: Poster
Title: Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport
Authors: Jaemoo Choi, Jaewoong Choi, Myungjoo Kang
Affiliations: Seoul National University; Korea Institute for Advanced Study
Conference: nips 2023 (main track)
Keywords: Optimal Transport;Generative modeling;Generative adversarial network
Decision: Poster
Title: Joint processing of linguistic properties in brains and language models
Authors: SUBBAREDDY OOTA, Manish Gupta, Mariya Toneva
Affiliations: Microsoft, India; Inria Bordeaux, France; MPI for Software Systems, Saarbrücken, Germany
Conference: nips 2023 (main track)
Keywords: Linguistic properties;fMRI;probing tasks;cognitive neuroscience;language models;NLP
Decision: Poster
Title: Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information
Authors: Kiwan Maeng, Chuan Guo, Sanjay Kariyappa, Sanjay Kariyappa, G. Edward Suh
Affiliations: Georgia Institute of Technology; FAIR, Meta & Cornell University; FAIR, Meta; Penn State University
Conference: nips 2023 (main track)
Keywords: privacy;instance encoding;split learning
Decision: Poster
Title: Generalized equivalences between subsampling and ridge regularization
Authors: Pratik Patil, Jin-Hong Du
Affiliations: Department of Statistics and Data Science & Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA; Department of Statistics, University of California, Berkeley, CA 94720, USA
Conference: nips 2023 (main track)
Keywords: subsampling;ridge regularization;asymptotic equivalences;proportional asymptotics
Decision: Poster
Title: HOH: Markerless Multimodal Human-Object-Human Handover Dataset with Large Object Count
Authors: Noah Wiederhold, Ava Megyeri, DiMaggio Paris, Sean Banerjee, Natasha Banerjee
Affiliations: Clarkson University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: human-human;handover;dataset;handoff;human-robot interaction;hand-object interactions;multimodal human data collection
Decision: Poster
Title: Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis
Authors: Mitchell Ostrow, Adam Eisen, Leo Kozachkov, Ila Fiete
Affiliations: Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA
Conference: nips 2023 (main track)
Keywords: Computational Neuroscience;Neural Data Analysis;Statistical Shape Metrics;Representational Similarity Analysis;Recurrent Neural Networks;Dynamical Systems
Decision: Poster
Title: Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills
Authors: Denis Blessing, Onur Celik, Xiaogang Jia, Xiaogang Jia, Moritz Reuss, Maximilian Li, Rudolf Lioutikov, Gerhard Neumann
Affiliations: Intuitive Robots Lab, Karlsruhe Institute of Technology; FZI Research Center for Information Technology; Autonomous Learning Robots, Karlsruhe Institute of Technology
Conference: nips 2023 (main track)
Keywords: Imitation Learning;Verstile Skill Learning;Curriculum Learning
Decision: Poster
Title: Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera
Authors: Lujie Xia, Ziluo Ding, Rui Zhao, Jiyuan Zhang, Lei Ma, Zhaofei Yu, Tiejun Huang, Ruiqin Xiong
Affiliations: National Engineering Research Center of Visual Technology (NERCVT); Beijing Academy of Artificial Intelligence; School of Computer Science, Peking University; National Engineering Research Center of Visual Technology (NERCVT); National Biomedical Imaging Center, College of Future Technology, Peking University; School of Computer Science, Peking University; National Engineering Research Center of Visual Technology (NERCVT); Institute for Artificial Intelligence, Peking University
Conference: nips 2023 (main track)
Keywords: Optical flow;unsupervised learning;spike camera
Decision: Poster
Title: Physics-Driven ML-Based Modelling for Correcting Inverse Estimation
Authors: ruiyuan kang, Tingting Mu, Panagiotis Liatsis, Dimitrios Kyritsis
Affiliations: Khalifa University, Abu Dhabi, UAE; Bayanat AI, Abu Dhabi, UAE; University of Manchester, Manchester, M13 9PL, United Kingdom
Conference: nips 2023 (main track)
Keywords: Failure detection;Physical evaluation;Network-based optimization;Generative model;Hybrid surrogate model
Decision: Spotlight
Title: A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs
Authors: Xingyue Huang, Miguel Romero, Ismail Ceylan, Pablo Barceló
Affiliations: Department of Computer Science, Universidad Católica de Chile, & CENIA Chile; Department of Computer Science, University of Oxford, Oxford, UK.; Inst. for Math. and Comp. Eng., Universidad Católica de Chile, & IMFD Chile & CENIA Chile
Conference: nips 2023 (main track)
Keywords: graph neural networks;knowledge graphs;expressivity;logical characterization
Decision: Poster
Title: Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects
Authors: Tianhang Cheng, Wei-Chiu Ma, Kaiyu Guan, Antonio Torralba, Shenlong Wang
Affiliations: University of Illinois Urbana-Champaign; Massachusetts Institute of Technology
Conference: nips 2023 (main track)
Keywords: 3d reconstruction;inverse rendering;pose estimation;single view reconstruction;nerf;duplicates
Decision: Poster
Title: A Comprehensive Benchmark for Neural Human Radiance Fields
Authors: Kenkun Liu, Derong Jin, Ailing Zeng, Xiaoguang Han, Lei Zhang
Affiliations: The Chinese University of Hong Kong, Shenzhen; International Digital Economy Academy (IDEA)
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Benchmark;Human Body Rendering;Human NeRF;Generalizable NeRF;Novel Pose Rendering
Decision: Poster
Title: A Sublinear-Time Spectral Clustering Oracle with Improved Preprocessing Time
Authors: Ranran Shen, Pan Peng
Affiliations: School of Computer Science and Technology, University of Science and Technology of China, Hefei, China
Conference: nips 2023 (main track)
Keywords: Sublinear-time algorithms;Spectral Clustering;Graph Clustering;Random Walks
Decision: Poster
Title: AMAG: Additive, Multiplicative and Adaptive Graph Neural Network For Forecasting Neuron Activity
Authors: Jingyuan Li, Leo Scholl, Trung Le, Pavithra Rajeswaran, Amy Orsborn, Eli Shlizerman
Affiliations: Department of Electrical & Computer Engineering, Department of Applied Mathematics, University of Washington, Seattle, WA; Department of Electrical & Computer Engineering and Department of Bioengineering, University of Washington, Seattle, WA; Department of Electrical & Computer Engineering, University of Washington, Seattle, WA; Department of Bioengineering, University of Washington, Seattle, WA
Conference: nips 2023 (main track)
Keywords: Neuroscience and Cognitive Science;Neural Activity Forecasting;Graph Neural Network
Decision: Poster
Title: Dis-inhibitory neuronal circuits can control the sign of synaptic plasticity
Authors: Julian Rossbroich, Friedemann Zenke
Affiliations: Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland; Faculty of Science, University of Basel, Basel, Switzerland
Conference: nips 2023 (main track)
Keywords: Credit assignment;hebbian plasticity;inhibitory microcircuits;bio-plausible learning
Decision: Poster
Title: MeGraph: Capturing Long-Range Interactions by Alternating Local and Hierarchical Aggregation on Multi-Scaled Graph Hierarchy
Authors: Honghua Dong, Jiawei Xu, Yu Yang, Rui Zhao, Shiwen Wu, Chun Yuan, Xiu Li, Chris Maddison, Lei Han
Affiliations: University of Toronto, Vector Institute; Tencent Robotics X; Tencent Robotics X, Tsinghua University; Hong Kong University of Science and Technology; Tsinghua University; Tencent Robotics X, University of Toronto, Vector Institute
Conference: nips 2023 (main track)
Keywords: Long-Range Interactions;Hierachical Structure;Multi-Scale;Graph Pooling;Graph Neural Networks(GNNs)
Decision: Poster
Title: ExPT: Synthetic Pretraining for Few-Shot Experimental Design
Authors: Tung Nguyen, Sudhanshu Agrawal, Aditya Grover
Affiliations: University of California, Los Angeles
Conference: nips 2023 (main track)
Keywords: experimental design;few-shot;black-box optimization;synthetic pretraining;in-context learning;transformer
Decision: Poster