hunoutl/paperlists huggingface dataset:
Title: Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective
Authors: Guhao Feng, Bohang Zhang, Yuntian Gu, Haotian Ye, Di He, Liwei Wang
Affiliations: Yuanpei College, Peking University; School of EECS, Peking University; Pazhou Lab; National Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University; National Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University; Center for Machine Learning Research, Peking University
Conference: nips 2023 (main track)
Keywords: Chain-of-Thought Prompting;Large Language Models;Theory;Circuit Complexity;Dynamic Programming
Decision: Oral
Title: Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models
Authors: Leonardo Galli, Holger Rauhut, Mark Schmidt
Affiliations: RWTH Aachen University, Aachen; University of British Columbia, Canada CIFAR AI Chair (Amii)
Conference: nips 2023 (main track)
Keywords: line search;nonmonotone;stochastic gradient descent;over-parametrized models;Polyak step size;optimization
Decision: Poster
Title: Sketching Algorithms for Sparse Dictionary Learning: PTAS and Turnstile Streaming
Authors: Gregory Dexter, Petros Drineas, David Woodruff, Taisuke Yasuda
Affiliations: Department of Computer Science, Purdue University; Computer Science Department, Carnegie Mellon University
Conference: nips 2023 (main track)
Keywords: dictionary learning;k means clustering;sketching;ptas;streaming
Decision: Poster
Title: Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning
Authors: Yue Tan, Chen Chen, Weiming Zhuang, Xin Dong, Lingjuan Lyu, Guodong Long
Affiliations: University of Technology Sydney; Sony AI
Conference: nips 2023 (main track)
Keywords: Federated Learning;Test-Time Shift;Contrastive Learning
Decision: Poster
Title: TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge Retention and Promotion
Authors: Preetha Vijayan, Prashant Bhat, Bahram Zonooz, Elahe Arani
Affiliations: Eindhoven University of Technology (TU/e) and TomTom; Eindhoven University of Technology (TU/e); NavInfo Europe
Conference: nips 2023 (main track)
Keywords: Continual Learning;Catastrophic Forgetting;Experience Replay;Lifelong Learning;Bio-Inspired;Active Forgetting;Scalable Neurogenesis
Decision: Poster
Title: Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals
Authors: Yue Wu, Yewen Fan, Paul Pu Liang, Amos Azaria, Yuanzhi Li, Tom Mitchell
Affiliations: Carnegie Mellon University; Microsoft Research; Ariel University
Conference: nips 2023 (main track)
Keywords: Games;Instruction Manual;Atari Games;Large Language Models;Language Models;Zero-shot;In-context prompting
Decision: Poster
Title: Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context
Authors: Lakshya A Agrawal, Aditya Kanade, Navin Goyal, Shuvendu Lahiri, Sriram Rajamani
Affiliations: Microsoft Research, Bangalore, India; Microsoft Research, Redmond, United States
Conference: nips 2023 (main track)
Keywords: Language models;code generation;correctness;program analysis
Decision: Poster
Title: Statistical Insights into HSIC in High Dimensions
Authors: Tao Zhang, Yaowu Zhang, Tingyou Zhou
Affiliations: School of Data Sciences, Zhejiang University of Finance and Economics, Hangzhou 310018, China; School of Information Management and Engineering, MoE Key Laboratory of Interdisciplinary Research of Computation and Economics, Shanghai University of Finance and Economics, Shanghai 200433, China; School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai 200433, China
Conference: nips 2023 (main track)
Keywords: High dimensionality; Independence test; Kernel method; Nonlinear dependency.
Decision: Poster
Title: Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints
Authors: Jiaxin Bai, Xin Liu, Weiqi Wang, Chen Luo, Yangqiu Song
Affiliations: Department of CSE, HKUST; Amazon.com Inc
Conference: nips 2023 (main track)
Keywords: Knowledge Graph;Complex Query Answering;Eventuality Graph
Decision: Poster
Title: Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability
Authors: Hanlin Zhu, Amy Zhang
Affiliations: EECS, UC Berkeley; Meta AI; ECE, UT Austin; Meta AI
Conference: nips 2023 (main track)
Keywords: offline goal-conditioned RL;provably efficient algorithm;single-policy concentrability;general function approximation
Decision: Poster
Title: The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks
Authors: Spencer Frei, Spencer Frei, Gal Vardi, Peter Bartlett, Nati Srebro
Affiliations: TTI-Chicago; UC Berkeley and Google DeepMind; UC Davis; TTI-Chicago and Hebrew University
Conference: nips 2023 (main track)
Keywords: adversarial robustness;neural networks;implicit bias;generalization
Decision: Poster
Title: Alleviating the Semantic Gap for Generalized fMRI-to-Image Reconstruction
Authors: Tao Fang, Qian Zheng, Gang Pan
Affiliations: College of Computer Science and Technology, Zhejiang University, Hangzhou, China; The State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou, China
Conference: nips 2023 (main track)
Keywords: fMRI;image reconstruction;brain decoding
Decision: Spotlight
Title: Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion
Authors: Hyuna Cho, Minjae Jeong, Sooyeon Jeon, Sungsoo Ahn, Won Hwa Kim
Affiliations: POSTECH, South Korea
Conference: nips 2023 (main track)
Keywords: graph wavelet transform;multi-scale wavelet filtering;graph generation;diffusion model
Decision: Poster
Title: LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas
Authors: Kensen Shi, Hanjun Dai, Wen-Ding Li, Kevin Ellis, Charles Sutton
Affiliations: Cornell University; Google DeepMind
Conference: nips 2023 (main track)
Keywords: Program Synthesis;Programming By Example;Lambdas;Functional Programming
Decision: Poster
Title: Stable Bias: Evaluating Societal Representations in Diffusion Models
Authors: Sasha Luccioni, Christopher Akiki, Margaret Mitchell, Yacine Jernite
Affiliations: Leipzig University and ScaDS.AI; Hugging Face, Canada; Hugging Face, USA
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: text-to-image models;diffusion models;bias and fairness;data exploration
Decision: Spotlight
Title: CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference
Authors: Wenxuan Zeng, Meng Li, Haichuan Yang, Wen-jie Lu, Runsheng Wang, Ru Huang
Affiliations: Meta AI; Peking University; Ant Group
Conference: nips 2023 (main track)
Keywords: Private Inference;Network/Protocol Co-Optimization;Winograd Convolution;Structural Re-parameterization
Decision: Poster
Title: StressID: a Multimodal Dataset for Stress Identification
Authors: Hava Chaptoukaev, Valeriya Strizhkova, Michele Panariello, Bianca Dalpaos, Aglind Reka, Valeria Manera, Susanne Thümmler, Esma ISMAILOVA, Nicholas W., francois bremond, Massimiliano Todisco, Maria A Zuluaga, Laura M. Ferrari
Affiliations: Inria, Valbonne, France; CoBTek, Université Cote d’Azur, Nice, France; EURECOM, Sophia Antipolis, France; The Biorobotics Institute, Scuola Superiore Sant’Anna, Pontedera, Italy
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Stress identification;dataset
Decision: Poster
Title: Are GATs Out of Balance?
Authors: Nimrah Mustafa, Aleksandar Bojchevski, Rebekka Burkholz
Affiliations: CISPA Helmholtz Center for Information Security, 66123 Saarbrücken, Germany; University of Cologne, 50923 Köln, Germany
Conference: nips 2023 (main track)
Keywords: graph attention networks;gradient flow;conservation law
Decision: Poster
Title: Holistic Evaluation of Text-to-Image Models
Authors: Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon Sung Park, Agrim Gupta, Yunzhi Zhang, Deepak Narayanan, Hannah Teufel, Marco Bellagente, Minguk Kang, Taesung Park, Jure Leskovec, Jun-Yan Zhu, Fei-Fei Li, Jiajun Wu, Stefano Ermon, Percy Liang
Affiliations: Adobe; CMU; Aleph Alpha; POSTECH; Microsoft; Stanford
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: text-to-image;image generation;multimodal;holistic evaluation;benchmarking;human evaluation
Decision: Spotlight
Title: Multi-Head Adapter Routing for Cross-Task Generalization
Authors: Lucas Page-Caccia, Edoardo Maria Ponti, Zhan Su, Matheus Pereira, Nicolas Le Roux, Alessandro Sordoni
Affiliations: McGill University; University of Copenhagen; Université de Montréal; MILA, University of Edinburgh; Microsoft Research
Conference: nips 2023 (main track)
Keywords: Parameter Efficient Finetuning;Multitask Learning;Transfer Learning;Natural Language Processing
Decision: Poster
Title: Cross-Domain Policy Adaptation via Value-Guided Data Filtering
Authors: Kang Xu, Chenjia Bai, Xiaoteng Ma, Dong Wang, Bin Zhao, Zhen Wang, Xuelong Li, Wei Li
Affiliations: Shanghai Artificial Intelligence Laboratory and Northwestern Polytechnical University; Fudan University and Shanghai Artificial Intelligence Laboratory; Fudan University; Northwestern Polytechnical University; Tsinghua University; Shanghai Artificial Intelligence Laboratory
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning; Domain Adaptation; Online Dynamics Adaptation
Decision: Poster
Title: ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation
Authors: Zhuo Chen, Laker Newhouse, Eddie Chen, Di Luo, Marin Soljacic
Affiliations: NSF AI Institute for Artificial Intelligence and Fundamental Interactions, Department of Physics, Massachusetts Institute of Technology; Department of Mathematics, Massachusetts Institute of Technology; NSF AI Institute for Artificial Intelligence and Fundamental Interactions, Department of Physics, Massachusetts Institute of Technology, Department of Physics, Harvard University; Department of Physics, Massachusetts Institute of Technology
Conference: nips 2023 (main track)
Keywords: Autoregressive neural network;tensor network;quantum many-body physics;variational Monte Carlo
Decision: Poster
Title: VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors
Authors: Li-wei Lehman, Benjamin Moody, Harsh Deep, Feng Wu, Hasan Saeed, Lucas McCullum, Diane Perry, Tristan Struja, Qiao Li, Gari Clifford, Roger Mark
Affiliations: Emory University, Georgia Tech; MIT; Emory University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: arrhythmia;false alarm;ICU;machine learning;deep learning;contrastive learning;physiological waveforms.
Decision: Poster
Title: Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization
Authors: Kamil Dreczkowski, Antoine Grosnit, Haitham Bou Ammar
Affiliations: Huawei Noah’s Ark Lab, University College London; Imperial College of London; Huawei Noah’s Ark Lab, Technische Universität Darmstadt
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Bayesian Optimisation;Combinatorial Optimisation;Mixed Space Optimisation;Library;Benchmarks
Decision: Poster
Title: Transformers learn through gradual rank increase
Authors: Enric Boix-Adsera, Etai Littwin, Emmanuel Abbe, Samy Bengio, Joshua Susskind
Affiliations: 1Apple, 3EPFL; 1Apple; 1Apple, 2MIT
Conference: nips 2023 (main track)
Keywords: transformers;low-rank bias;incremental learning
Decision: Poster
Title: Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm
Authors: Miaoxi Zhu, Li Shen, Bo Du, Dacheng Tao
Affiliations: JD Explore Academy, China; The University of Sydney, Australia; School of Computer Science, National Engineering Research Center for Multimedia Software, Institute of Artificial Intelligence and Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan University, China
Conference: nips 2023 (main track)
Keywords: decentralized algorithm;minimax problem;algorithmic stability;generalization analysis
Decision: Poster
Title: Bayesian nonparametric (non-)renewal processes for analyzing neural spike train variability
Authors: David Liu, Mate Lengyel
Affiliations: Department of Engineering, University of Cambridge; Department of Cognitive Science, Central European University; Department of Engineering, University of Cambridge
Conference: nips 2023 (main track)
Keywords: Gaussian processes;renewal processes;point processes;neural data analysis;Bayesian machine learning;non-stationary time series
Decision: Poster
Title: Aligning Synthetic Medical Images with Clinical Knowledge using Human Feedback
Authors: Shenghuan Sun, Greg Goldgof, Atul Butte, Ahmed Alaa
Affiliations: UC Berkeley and UCSF; University of California, San Francisco; Memorial Sloan Kettering Cancer Center
Conference: nips 2023 (main track)
Keywords: Synthetic clinical data;Machine learning for healthcare
Decision: Spotlight
Title: COOM: A Game Benchmark for Continual Reinforcement Learning
Authors: Tristan Tomilin, Meng Fang, Yudi Zhang, Mykola Pechenizkiy
Affiliations: University of Liverpool; Eindhoven University of Technology
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: benchmark;vizdoom;vision-based learning;embodied AI;continual learning;reinforcement learning;deep learning;simulation environment
Decision: Poster
Title: PHOTOSWAP: Personalized Subject Swapping in Images
Authors: Jing Gu, Yilin Wang, Nanxuan Zhao, Tsu-Jui Fu, Wei Xiong, Qing Liu, Zhifei Zhang, HE Zhang, Jianming Zhang, HyunJoon Jung, Xin Eric Wang
Affiliations: Adobe; University of California, Santa Barbara; University of California, Santa Cruz
Conference: nips 2023 (main track)
Keywords: image editing;diffusion model;text to image generation
Decision: Poster
Title: Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources
Authors: Feiyang Kang, Hoang Anh Just, Anit Kumar Sahu, Ruoxi Jia
Affiliations: Alexa AI, Amazon, Seattle, WA 98121; Bradley Department of ECE, Virginia Tech, Blacksburg, VA 24061
Conference: nips 2023 (main track)
Keywords: data-centric AI;data acquisition;data valuation;performance prediction;data markets;optimal transport;scaling laws
Decision: Poster
Title: Multimodal Deep Learning Model Unveils Behavioral Dynamics of V1 Activity in Freely Moving Mice
Authors: Aiwen Xu, Yuchen Hou, Cristopher Niell, Michael Beyeler
Affiliations: Department of Computer Science, University of California, Santa Barbara, Santa Barbara, CA 93117; Department of Biology, Institute of Neuroscience, University of Oregon, Eugene, OR 97403; Department of Computer Science, Department of Psychological & Brain Sciences, University of California, Santa Barbara, Santa Barbara, CA 93117
Conference: nips 2023 (main track)
Keywords: neuroscience;cognitive science;multimodal learning;representation learning;network architecture;computational biology;visual perception
Decision: Poster
Title: Reinforcement Learning with Simple Sequence Priors
Authors: Tankred Saanum, Noémi Éltető, Peter Dayan, Marcel Binz, Eric Schulz
Affiliations: Max Planck Institute for Biological Cybernetics; Max Planck Institute for Biological Cybernetics, University of Tübingen
Conference: nips 2023 (main track)
Keywords: Deep Reinforcement Learning;Compression;Sequence learning;Information bottleneck;Mutual information
Decision: Poster
Title: Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information
Authors: Arman Zharmagambetov, Brandon Amos, Aaron Ferber, Aaron Ferber, Taoan Huang, Bistra Dilkina, Yuandong Tian
Affiliations: FAIR at Meta; University of Southern California
Conference: nips 2023 (main track)
Keywords: learning surrogates;predict+optimize framework;combinatorial nonlinear optimization;argmin differentiation
Decision: Poster
Title: Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data
Authors: Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy
Affiliations: Department of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47906
Conference: nips 2023 (main track)
Keywords: Federated Learning;Decentralized Learning;Non-IID Data;Heterogeneous data distribution;Peer-to-peer connectivity
Decision: Poster
Title: Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking
Authors: Mohammad Mahdi Kamani, Yuhang Yao, Hanjia Lyu, Zhongwei Cheng, Lin Chen, Liangju Li, Carlee Joe-Wong, Jiebo Luo
Affiliations: University of Rochester; Wyze Labs, Inc.; Carnegie Mellon University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Rule Recommendation;Federated Learning;Graph Representation Learning
Decision: Poster
Title: The Cambridge Law Corpus: A Dataset for Legal AI Research
Authors: Andreas Östling, Holli Sargeant, Huiyuan Xie, Ludwig Bull, Alexander Terenin, Leif Jonsson, Måns Magnusson, Felix Steffek
Affiliations: University of Cambridge; CourtCorrect; Sudden Impact AB; Uppsala University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Law;AI;Corpus;Legal Research;dataset
Decision: Poster
Title: Meta-Learning Adversarial Bandit Algorithms
Authors: Misha Khodak, Ilya Osadchiy, Keegan Harris, Maria-Florina Balcan, Kfir Y. Levy, Ron Meir, Steven Wu
Affiliations: Technion; Carnegie Mellon University; CMU; Technion - Israel Institute of Technology
Conference: nips 2023 (main track)
Keywords: online learning;multi-armed bandits;meta-learning;multi-task learning;bandit linear optimization
Decision: Poster
Title: Learning Adaptive Tensorial Density Fields for Clean Cryo-ET Reconstruction
Authors: YUANHAO WANG, Ramzi Idoughi, Wolfgang Heidrich
Affiliations: King Abdullah University of Science and Technology (KAUST)
Conference: nips 2023 (main track)
Keywords: Neural density fields;Coordinate-based representations;Quadtree structure;Cryo-electron microscope
Decision: Poster
Title: TexQ: Zero-shot Network Quantization with Texture Feature Distribution Calibration
Authors: Xinrui Chen, Yizhi Wang, Renao YAN, Yiqing Liu, Tian Guan, Yonghong He
Affiliations: Tsinghua Shenzhen International Graduate School, Tsinghua University
Conference: nips 2023 (main track)
Keywords: Zero-shot quantization;Texture feature calibration;Post-training quantization;low bit width;Neural network compression
Decision: Poster
Title: Grounding Neural Inference with Satisfiability Modulo Theories
Authors: Zifan Wang, Saranya Vijayakumar, Kaiji Lu, Vijay Ganesh, Somesh Jha, Matt Fredrikson
Affiliations: University of Wisconsin-Madison; Pinterest Inc.; Georgia Institute of Technology; Carnegie Mellon University; Center for AI Safety
Conference: nips 2023 (main track)
Keywords: Satisfiability Modulo Theories;Solver Layer;Combinatorial Problem;MAXSAT;SAT
Decision: Spotlight
Title: Learning Invariant Molecular Representation in Latent Discrete Space
Authors: Xiang Zhuang, Qiang Zhang, Keyan Ding, Yatao Bian, Xiao Wang, Jingsong Lv, Hongyang Chen, Huajun Chen
Affiliations: College of Computer Science and Technology, Zhejiang University; ZJU-Hangzhou Global Scientific and Technological Innovation Center; Zhejiang University - Ant Group Joint Laboratory of Knowledge Graph; ZJU-Hangzhou Global Scientific and Technological Innovation Center; Zhejiang Lab; School of Software, Beihang University; Tencent AI Lab
Conference: nips 2023 (main track)
Keywords: molecular representation learning;out-of-distribution
Decision: Poster
Title: Learning better with Dale’s Law: A Spectral Perspective
Authors: Pingsheng Li, Jonathan Cornford, Arna Ghosh, Blake Richards
Affiliations: McGill University, Mila - Quebec AI Institute; McGill University, Montreal Neurological Institute, Mila - Quebec AI Institute & CIFAR
Conference: nips 2023 (main track)
Keywords: Dale's Law;RNNs;brain-inspired neural networks;DANNs;computational neuroscience;spectral properties;inhibition
Decision: Poster
Title: Formalizing locality for normative synaptic plasticity models
Authors: Colin Bredenberg, Ezekiel Williams, Cristina Savin, Blake Richards, Guillaume Lajoie
Affiliations: McGill University, Mila- Quebec AI Institute, Montreal, Quebec H2S 3H1; Université de Montréal, Mila- Quebec AI Institute, Montreal, Quebec H2S 3H1; New York University, New York, NY 10003; Mila- Quebec AI Institute, Montreal, Quebec H2S 3H1
Conference: nips 2023 (main track)
Keywords: synaptic plasticity;computational neuroscience
Decision: Poster
Title: Adversarial Counterfactual Environment Model Learning
Authors: Xiong-Hui Chen, Yang Yu, Zhengmao Zhu, ZhiHua Yu, Chen Zhenjun, Chenghe Wang, Yinan Wu, Rong-Jun Qin, Hongqiu Wu, Ruijin Ding, Huang Fangsheng
Affiliations: National Key Laboratory for Novel Software Technology, Nanjing University; School of Artificial Intelligence, Nanjing University; Polixir.ai; National Key Laboratory for Novel Software Technology, Nanjing University; School of Artificial Intelligence, Nanjing University; Meituan; Tsinghua University; Meituan; National Key Laboratory for Novel Software Technology, Nanjing University; School of Artificial Intelligence, Nanjing University
Conference: nips 2023 (main track)
Keywords: environment model learning;offline reinforcement learning;off-policy evaluation;individual treatment effects estimation;causal inference;adversarial learning
Decision: Spotlight
Title: ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections
Authors: Chun-Han Yao, Amit Raj, Wei-Chih Hung, Michael Rubinstein, Yuanzhen Li, Ming-Hsuan Yang, Varun Jampani
Affiliations: Waymo; UC Merced, Yonsei University; UC Merced; Google Research
Conference: nips 2023 (main track)
Keywords: 3D articulated shape;animal body estimation;diffusion for 3D
Decision: Poster
Title: Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient Descent
Authors: Xixi Jia, Hailin Wang, Jiangjun Peng, Xiangchu Feng, Deyu Meng
Affiliations: School of Mathematics and Statistics, Xi’an Jiaotong University; Macao Institute of Systems Engineering, Macau University of Science and Technology; School of Mathematics and Statistics, Xidian University; School of Mathematics and Statistics, Xi’an Jiaotong University
Conference: nips 2023 (main track)
Keywords: Non-convex optimization;matrix factorization;low rank;scaled gradient descent
Decision: Poster
Title: Efficient Learning of Linear Graph Neural Networks via Node Subsampling
Authors: Seiyun Shin, Ilan Shomorony, Han Zhao
Affiliations: Department of ECE, University of Illinois at Urbana-Champaign, IL; Department of CS, University of Illinois at Urbana-Champaign, IL
Conference: nips 2023 (main track)
Keywords: Graph neural networks;Random sampling;Regression
Decision: Poster
Title: RD-Suite: A Benchmark for Ranking Distillation
Authors: Zhen Qin, Rolf Jagerman, Rama Kumar Pasumarthi, Honglei Zhuang, He Zhang, Aijun Bai, Kai Hui, Le Yan, Xuanhui Wang
Affiliations: Google, Mountain View, CA, US 94043
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Ranking;Distillation;Benchmark;LLM
Decision: Poster
Title: Homotopy-based training of NeuralODEs for accurate dynamics discovery
Authors: Joon-Hyuk Ko, Hankyul Koh, Nojun Park, Wonho Jhe
Affiliations: Department of Physics, Massachusetts Institute of Technology, MA, 02142, United States; Department of Physics & Astronomy, Seoul National University, Seoul, 08826, South Korea
Conference: nips 2023 (main track)
Keywords: neural ordinary differential equations;synchronization;homotopy optimization;loss landscape;dynamical systems
Decision: Poster
Title: Locality Sensitive Hashing in Fourier Frequency Domain For Soft Set Containment Search
Authors: Indradyumna Roy, Rishi Agarwal, Soumen Chakrabarti, Anirban Dasgupta, Abir De
Affiliations: IIT Gandhinagar; IIT Bombay
Conference: nips 2023 (main track)
Keywords: Locality sensitive hashing;Fourier transform;Order embeddings
Decision: Spotlight