hunoutl/paperlists huggingface dataset:
Title: H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets
Authors: Guanqiang Zhou, Ping Xu, Ping Xu, Yue Wang, Zhi Tian
Affiliations: University of Texas Rio Grande Valley; Georgia State University; George Mason University
Conference: nips 2023 (main track)
Keywords: distributed learning;federated learning;fairness;robustness;Byzantine attack;norm-based screening;q-FFL;optimization;convergence analysis
Decision: Poster
Title: Multiply Robust Federated Estimation of Targeted Average Treatment Effects
Authors: Larry Han, Zhu Shen, Jose Zubizarreta
Affiliations: Department of Health Sciences, Northeastern University, Boston, MA 02115; Departments of Health Care Policy, Biostatistics, and Statistics, Harvard University, Boston, MA 02115; Department of Biostatistics, Harvard University, Boston, MA 02115
Conference: nips 2023 (main track)
Keywords: Causal inference;Covariate mismatch;Federated learning;Multiple robustness;Transportation
Decision: Poster
Title: Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification
Authors: Jintong Gao, He Zhao, Zhuo Li, Dandan Guo
Affiliations: School of Artificial Intelligence, Jilin University; CSIRO’s Data61; Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong, Shenzhen
Conference: nips 2023 (main track)
Keywords: Long-tailed Classification;Optimal Transport;Image-mixing;Semantic Similarity
Decision: Poster
Title: Fast Rank-1 Lattice Targeted Sampling for Black-box Optimization
Authors: Yueming LYU
Affiliations: Centre for Frontier AI Research (CFAR), Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore
Conference: nips 2023 (main track)
Keywords: Black-box Optimization;Derivate-free Optimization;Kernel methods
Decision: Poster
Title: Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples
Authors: Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar, Nitish Joshi, Mehran Kazemi, Najoung Kim, He He
Affiliations: New York University; Google
Conference: nips 2023 (main track)
Keywords: large language models;reasoning;out-of-distribution generalization;chain-of-thought;in-context learning
Decision: Poster
Title: Adversarial Attacks on Online Learning to Rank with Click Feedback
Authors: Jinhang Zuo, Zhiyao Zhang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, Adam Wierman
Affiliations: Southeast University; University of Massachusetts Amherst; Shanghai Jiao Tong University; California Institute of Technology; The Chinese University of Hong Kong
Conference: nips 2023 (main track)
Keywords: online learning to rank;adversarial attack;click model
Decision: Poster
Title: Nash Regret Guarantees for Linear Bandits
Authors: Ayush Sawarni, Ayush Sawarni, Soumyabrata Pal, Siddharth Barman
Affiliations: Google Research, Bangalore; Indian Institute of Science, Bangalore
Conference: nips 2023 (main track)
Keywords: Sub-Poisson Distribution;Nash Social Welfare;Fairness Quantification;John Ellipsoid;Kiefer-Wolfowitz Optimal Design;Algorithmic Game Theory;Online Learning
Decision: Poster
Title: NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics
Authors: Anwar Said, Roza Bayrak, Tyler Derr, Mudassir Shabbir, Daniel Moyer, Catie Chang, Xenofon Koutsoukos
Affiliations: Vanderbilt University, Information Technology University; Vanderbilt University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Graph Neural Networks;Benchmarking;Datasets;Neuroimaging;fMRI
Decision: Poster
Title: Should Under-parameterized Student Networks Copy or Average Teacher Weights?
Authors: Berfin Simsek, Amire Bendjeddou, Wulfram Gerstner, Johanni Brea
Affiliations: NYU∗; EPFL
Conference: nips 2023 (main track)
Keywords: shallow neural networks;non-convex optimization;approximation error;loss landscape
Decision: Poster
Title: Learning Efficient Surrogate Dynamic Models with Graph Spline Networks
Authors: Chuanbo Hua, Federico Berto, Michael Poli, Stefano Massaroli, Jinkyoo Park
Affiliations: KAIST, DiffeqML, AI4CO; Mila and University of Montreal, DiffeqML; KAIST, OMELET; Stanford University, DiffeqML
Conference: nips 2023 (main track)
Keywords: Graph;Spline Collocation Method;Graph Neural Networks;Simulation;Partial Differential Equations;PDEs;Physics;Scientific Computing;Surrogate Models;Weather Forecasting
Decision: Poster
Title: Sequential Preference Ranking for Efficient Reinforcement Learning from Human Feedback
Authors: Minyoung Hwang, Gunmin Lee, Hogun Kee, Chan Woo Kim, Kyungjae Lee, Songhwai Oh
Affiliations: Electrical and Computer Engineering and ASRI, Seoul National University, Seoul, 08826, Korea; Department of Artificial Intelligence, Chung-Ang University, Seoul 06974, Korea
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning; Reinforcement Learning from Human Feedback; Preference-based Reinforcement Learning; Human-Robot Interaction
Decision: Poster
Title: Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models
Authors: Zhimin Chen, Longlong Jing, Yingwei Li, Bing Li
Affiliations: The City University of New York; Johns Hopkins University; Clemson University
Conference: nips 2023 (main track)
Keywords: 3D self-supervised learning;Multi-modal Representation Learning;Masked autoencoders;Knowledge distillation
Decision: Poster
Title: Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models
Authors: Weijian Luo, Tianyang Hu, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhihua Zhang
Affiliations: Huawei Noah’s Ark Lab; Peking University
Conference: nips 2023 (main track)
Keywords: diffusion model;data-free distillation;implicit generator;knowledge transfer
Decision: Poster
Title: LOVM: Language-Only Vision Model Selection
Authors: Orr Zohar, Shih-Cheng Huang, Kuan-Chieh Wang, Serena Yeung
Affiliations: Stanford Univeristy
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Multi-modal models;Language-Vision Models;Foundation Models;Transferability;Model Selection
Decision: Poster
Title: Enhancing Adversarial Robustness via Score-Based Optimization
Authors: Boya Zhang, Weijian Luo, Zhihua Zhang
Affiliations: Academy for Advanced Interdisciplinary Studies; Peking University; School of Mathematical Sciences; Peking University
Conference: nips 2023 (main track)
Keywords: Adversarial Defense;Adversarial Attack;Score-based Models;Diffusion Models
Decision: Poster
Title: On the Exploration of Local Significant Differences For Two-Sample Test
Authors: Zhijian Zhou, Jie Ni, Jia-He Yao, Wei Gao
Affiliations: National Key Laboratory for Novel Software Technology, Nanjing University, China; School of Artificial Intelligence, Nanjing University, China
Conference: nips 2023 (main track)
Keywords: two-sample test;local significant difference;directional information
Decision: Poster
Title: HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds
Authors: Gang Zhang, Chen Junnan, Guohuan Gao, Jianmin Li, Xiaolin Hu
Affiliations: Huazhong University of Science and Technology; Department of Computer Science and Technology, Tsinghua Laboratory of Brain and Intelligence (THBI), IDG/McGovern Institute for Brain Research, Tsinghua University; Chinese Institute for Brain Research (CIBR), Beijing 100010, China; Beijing Institute of Technology; Department of Computer Science and Technology, Institute for AI, BNRist, THU-Bosch JCML Center, Tsinghua University
Conference: nips 2023 (main track)
Keywords: 3D object detection; encoder-decoder structure
Decision: Poster
Title: Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption
Authors: Yige Hong, Qiaomin Xie, Yudong Chen, Weina Wang
Affiliations: University of Wisconsin-Madison; Carnegie Mellon University
Conference: nips 2023 (main track)
Keywords: restless bandits;average reward MDP;simulation-based method;asymptotic optimality
Decision: Spotlight
Title: MCUFormer: Deploying Vision Tranformers on Microcontrollers with Limited Memory
Authors: Yinan Liang, Ziwei Wang, Xiuwei Xu, Yansong Tang, Jie Zhou, Jiwen Lu
Affiliations: Shenzhen International Graduate School, Tsinghua University; Department of Automation, Tsinghua University
Conference: nips 2023 (main track)
Keywords: Vision transformer;microcontroller;network architecture search
Decision: Poster
Title: Efficient Training of Energy-Based Models Using Jarzynski Equality
Authors: Davide Carbone, Mengjian Hua, Simon Coste, Eric Vanden-Eijnden
Affiliations: LPSM, Université Paris-Cité; Dipartimento di Scienze Matematiche, Politecnico di Torino; Istituto Nazionale di Fisica Nucleare, Sezione di Torino; Courant Institute of Mathematical Sciences, New York University
Conference: nips 2023 (main track)
Keywords: Energy-Based Model;contrastive learning;generative models;Jarzynski identity;ULA
Decision: Poster
Title: Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning
Authors: Xiaojun Guo, Yifei Wang, Zeming Wei, Yisen Wang
Affiliations: National Key Lab of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University; Institute for Artificial Intelligence, Peking University; School of Mathematical Sciences, Peking University; National Key Lab of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University
Conference: nips 2023 (main track)
Keywords: graph contrastive learning
Decision: Poster
Title: Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase
Authors: Qiuyu Wang, Zifan Shi, Kecheng Zheng, Yinghao Xu, Sida Peng, Yujun Shen
Affiliations: CUHK; ZJU; Ant Group; HKUST
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: 3D-aware image synthesis
Decision: Poster
Title: Energy Transformer
Authors: Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed Zaki, Dmitry Krotov
Affiliations: College of Computing, Georgia Tech; IBM Research, Georgia Tech; Department of CS, RPI; MIT-IBM Watson AI Lab, IBM Research
Conference: nips 2023 (main track)
Keywords: Hopfield Network;Dense Associative Memory;Energy-based models;Attention Mechanism
Decision: Poster
Title: Alexa Arena: A User-Centric Interactive Platform for Embodied AI
Authors: Qiaozi Gao, Govind Thattai, Suhaila Shakiah, Xiaofeng Gao, Shreyas Pansare, Vasu Sharma, Gaurav Sukhatme, Hangjie Shi, Bofei Yang, Desheng Zhang, Lucy Hu, Karthika Arumugam, Shui Hu, Matthew Wen, Dinakar Guthy, Shunan Chung, Rohan Khanna, Osman Ipek, Leslie Ball, Kate Bland, Heather Rocker, Michael Johnston, Reza Ghanadan, Dilek Hakkani-Tur, Prem Natarajan
Affiliations: Amazon Alexa AI
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Human-robot interaction;Embodied AI;Natural Language Processing
Decision: Poster
Title: AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs
Authors: Adam Cobb, Anirban Roy, Daniel Elenius, Frederick Heim, Brian Swenson, Sydney Whittington, James Walker, Theodore Bapty, Joseph Hite, Karthik Ramani, Christopher McComb, Susmit Jha
Affiliations: Mechanical Engineering Division, Southwest Research Institute; Computer Science Laboratory, SRI International; Intelligent Systems Division, Southwest Research Institute; Institute of Software Integrated Systems, Vanderbilt University; Department of Mechanical Engineering, Carnegie Mellon University; School of Mechanical Engineering, Purdue University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: CAD; Multimodal; Multi-Physics; Aircrafts
Decision: Poster
Title: Protein Design with Guided Discrete Diffusion
Authors: Nate Gruver, Samuel Stanton, Nathan Frey, Tim G. J. Rudner, Isidro Hotzel, Julien Lafrance-Vanasse, Arvind Rajpal, Kyunghyun Cho, Andrew Wilson
Affiliations: New York University; Prescient Design; Antibody Engineering, Genentech
Conference: nips 2023 (main track)
Keywords: protein design;diffusion model;classifier guidance
Decision: Spotlight
Title: Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal
Authors: Leah Chrestien, Stefan Edelkamp, Antonin Komenda, Tomas Pevny
Affiliations: Czech Technical University in Prague, and Gen Digital, Inc.; Czech Technical University in Prague
Conference: nips 2023 (main track)
Keywords: Learning heuristic functions;deep learning;Immitation learning;planning;A*;best first search
Decision: Poster
Title: Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training
Authors: Hanyang Peng, Shuang Qin, Yue Yu, Jin Wang, Hui Wang, Ge Li
Affiliations: School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen, China; Peng Cheng Laboratory, Shenzhen, China
Conference: nips 2023 (main track)
Keywords: optimizer;1-bit optimizer;distributed learning;optimization for deep networks;communication efficiency
Decision: Poster
Title: Minimum norm interpolation by perceptra: Explicit regularization and implicit bias
Authors: Jiyoung Park, Ian Pelakh, Stephan Wojtowytsch
Affiliations: Department of Mathematics, University of Pittsburgh; Department of Statistics, Texas A&M University; Department of Mathematics, Iowa State University
Conference: nips 2023 (main track)
Keywords: Artificial neural network;interpolation;explicit regularization;implicit bias;weight decay;Barron class
Decision: Poster
Title: Trade-off Between Efficiency and Consistency for Removal-based Explanations
Authors: Yifan Zhang, Haowei He, Zhiquan Tan, Yang Yuan
Affiliations: IIIS, Tsinghua University; Shanghai Artificial Intelligence Laboratory; Shanghai Qizhi Institute; Department of Math, Tsinghua Univesity; IIIS, Tsinghua University
Conference: nips 2023 (main track)
Keywords: AI interpretability;explainable AI;deep learning theory
Decision: Poster
Title: XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information
Authors: Zitao Liu, Qiongqiong Liu, Teng Guo, Jiahao Chen, Shuyan Huang, Xiangyu Zhao, Jiliang Tang, Weiqi Luo, Jian Weng
Affiliations: Guangdong Institute of Smart Education, Jinan University, Guangzhou, China; School of Data Science, City University of Hong Kong, Hong Kong, China; TAL Education Group, Beijing, China; College of Cyber Security, Jinan University, Guangzhou, China; Department of Computer Science and Engineering, Michigan State University MI, USA
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: knowledge tracing;benchmark;online education
Decision: Poster
Title: Task-Robust Pre-Training for Worst-Case Downstream Adaptation
Authors: Jianghui Wang, Yang Chen, Xingyu Xie, Cong Fang, Zhouchen Lin
Affiliations: School of Intelligence Science and Technology, Peking University
Conference: nips 2023 (main track)
Keywords: Pre-training;Robustness;Multi-task learning
Decision: Poster
Title: Convolutional Neural Operators for robust and accurate learning of PDEs
Authors: Bogdan Raonic, Roberto Molinaro, Tim De Ryck, Tobias Rohner, Francesca Bartolucci, Rima Alaifari, Siddhartha Mishra, Emmanuel de Bézenac
Affiliations: Delft University of Technology, Netherlands; Seminar for Applied Mathematics, ETH, Zurich, Switzerland; Seminar for Applied Mathematics, ETH, Zurich, Switzerland; ETH AI Center, Zurich, Switzerland
Conference: nips 2023 (main track)
Keywords: PDEs;Neural Operators;Scientific Machine Learning;Convolutional Neural Networks
Decision: Poster
Title: Near-Linear Time Algorithm for the Chamfer Distance
Authors: Ainesh Bakshi, Piotr Indyk, Rajesh Jayaram, Sandeep Silwal, Erik Waingarten
Affiliations: MIT; University of Pennsylvania; Google Research
Conference: nips 2023 (main track)
Keywords: chamfer distance;earth mover distance;high dimensional data analysis;nearest neighbor search;high dimensional data;high-dimensional geometry;sublinear algorithms;point clouds;theory
Decision: Poster
Title: Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective
Authors: Yifei Zhang, Hao Zhu, yankai Chen, Zixing Song, Piotr Koniusz, Irwin King
Affiliations: Data61 CSIRO, Australian National University; The Chinese University of Hong Kong; Australian National University, Data61 CSIRO
Conference: nips 2023 (main track)
Keywords: Graph;Collaborative Filtering;Recommendation
Decision: Spotlight
Title: State Sequences Prediction via Fourier Transform for Representation Learning
Authors: Mingxuan Ye, Yufei Kuang, Jie Wang, Yang Rui, Wengang Zhou, Houqiang Li, Feng Wu
Affiliations: CAS Key Laboratory of Technology in GIPAS, University of Science and Technology of China; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center; CAS Key Laboratory of Technology in GIPAS, University of Science and Technology of China
Conference: nips 2023 (main track)
Keywords: Reinforcement learning;Representation learning;State sequences prediction;Fourier transform
Decision: Spotlight
Title: Mitigating Test-Time Bias for Fair Image Retrieval
Authors: Fanjie Kong, Shuai Yuan, Weituo Hao, Ricardo Henao
Affiliations: Duke University; Duke University, KAUST; TikTok Inc.
Conference: nips 2023 (main track)
Keywords: Vision-language;Fairness;Text-based Image Retrieval;Deep Learning;Application
Decision: Poster
Title: A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation
Authors: Thomas FEL, Victor Boutin, Louis Béthune, Louis Béthune, Remi Cadene, Mazda Moayeri, Léo Andéol, Mathieu Chalvidal, Thomas Serre
Affiliations: Department of Computer Science, University of Maryland; Carney Institute for Brain Science, Brown University; Artificial and Natural Intelligence Toulouse Institute
Conference: nips 2023 (main track)
Keywords: Explainable AI;Concept-based explainability;Interpretability;Concept extraction;Concept importance;Attribution methods
Decision: Spotlight
Title: Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization
Authors: Sanath Kumar Krishnamurthy, Ruohan Zhan, Susan Athey, Emma Brunskill
Affiliations: Management Science and Engineering, Stanford University; Industrial Engineering and Decision Analytics, Hong Kong University of Science and Technology; Graduate School of Business, Stanford University; Computer Science Department, Stanford University
Conference: nips 2023 (main track)
Keywords: Contextual Bandits; Adaptive Experimentation; Simple Regret; Reinforcement Learning
Decision: Poster
Title: Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement
Authors: Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma, Te Ye, Jiahai Wang
Affiliations: 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 Computer Science and Engineering, Sun Yat-sen University, P.R. China; Department of Industrial Engineering & Innovation Sciences, Eindhoven University of Technology, Netherlands; Department of Industrial Systems Engineering & Management, National University of Singapore, Singapore; School of Computing and Information Systems, Singapore Management University, Singapore
Conference: nips 2023 (main track)
Keywords: neural heuristic;diversity enhancement;deep reinforcement learning;multi-objective combinatorial optimization
Decision: Poster
Title: PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the Mobile
Authors: Peiyan Dong, LEI LU, Chao Wu, Cheng Lyu, Cheng Lyu, Geng Yuan, Hao Tang, Yanzhi Wang
Affiliations: Northeastern University; Carnegie Mellon University; University of Georgia
Conference: nips 2023 (main track)
Keywords: Vision Transformers;Quantization;Real-time on mobile;Sub-8-bit
Decision: Poster
Title: Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency
Authors: Xiyang Liu, Prateek Jain, Weihao Kong, Sewoong Oh, Arun Suggala
Affiliations: Paul Allen School of Computer Science & Engineering, University of Washington, and Google Research; Paul Allen School of Computer Science & Engineering, University of Washington; Google Research
Conference: nips 2023 (main track)
Keywords: Differential Privacy; Private Estimation
Decision: Poster
Title: Online Learning under Adversarial Nonlinear Constraints
Authors: Pavel Kolev, Georg Martius, Michael Muehlebach
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany; Max Planck Institute for Intelligent Systems, Tübingen, Germany and University of Tübingen, Tübingen, Germany
Conference: nips 2023 (main track)
Keywords: online learning;online convex optimization;constrained optimization;adversarial nonlinear constraints;constraint violation oracle
Decision: Poster
Title: SLaM: Student-Label Mixing for Distillation with Unlabeled Examples
Authors: Vasilis Kontonis, Fotis Iliopoulos, Khoa Trinh, Cenk Baykal, Gaurav Menghani, Erik Vee
Affiliations: UT Austin; Google Research
Conference: nips 2023 (main track)
Keywords: Distillation;teacher;student
Decision: Poster
Title: Alternation makes the adversary weaker in two-player games
Authors: Volkan Cevher, Ashok Cutkosky, Ali Kavis, Georgios Piliouras, Stratis Skoulakis, Luca Viano
Affiliations: Boston University; SUTD; LIONS, EPFL
Conference: nips 2023 (main track)
Keywords: Online Learning;Regret Minimization;Game Theory
Decision: Spotlight
Title: Zero-sum Polymatrix Markov Games: Equilibrium Collapse and Efficient Computation of Nash Equilibria
Authors: Fivos Kalogiannis, Ioannis Panageas
Affiliations: Department of Computer Science, University of California, Irvine, Irvine, CA
Conference: nips 2023 (main track)
Keywords: network games;Nash equilibrium;equilibrium;game theory;learning
Decision: Poster
Title: Boundary Guided Learning-Free Semantic Control with Diffusion Models
Authors: Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan
Affiliations: Department of Computer Science, Illinois Institute of Technology; School of Computer Science, Wuhan University; Department of Computer Science, Princeton University; Google Research
Conference: nips 2023 (main track)
Keywords: Diffusion probabilistic models;learning-free applications;high-dimensional semantic boundary;markov mixing
Decision: Poster
Title: Variational Gaussian processes for linear inverse problems
Authors: Thibault RANDRIANARISOA, Botond Szabo
Affiliations: Department of Decision Sciences, Bocconi University, via Roentgen 1, 20136, Milano, MI, Italy
Conference: nips 2023 (main track)
Keywords: Linear inverse problems;Gaussian processes;Variational inference;Inducing variables;Asymptotics;Contraction rates
Decision: Poster
Title: Robust low-rank training via approximate orthonormal constraints
Authors: Dayana Savostianova, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco, Francesco Tudisco
Affiliations: Gran Sasso Science Institute, 67100 L’Aquila (Italy); University of Innsbruck, 6020 Innsbruck (Austria)
Conference: nips 2023 (main track)
Keywords: low-rank neural networks;Stiefel manifold;orthogonal neural networks;pruning;adversarial robustness;neural network condition number;neural network singular values
Decision: Poster
Title: Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions
Authors: Jun Xia, Lecheng Zhang, Xiao Zhu, Yue Liu, Zhangyang Gao, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Siyuan Li, Stan Z. Li
Affiliations: School of Engineering, Westlake University
Conference: nips 2023 (main track)
Keywords: Graph Neural Networks
Decision: Poster
Title: Policy Gradient for Rectangular Robust Markov Decision Processes
Authors: Navdeep Kumar, Esther Derman, Matthieu Geist, Kfir Y. Levy, Shie Mannor
Affiliations: MILA, Université de Montréal; Technion; Google Deepmind; Technion, NVIDIA Research
Conference: nips 2023 (main track)
Keywords: robust Markov decision process;policy gradient
Decision: Poster