hunoutl/paperlists huggingface dataset:
Title: Improving Diffusion-Based Image Synthesis with Context Prediction
Authors: Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin CUI
Affiliations: Peking University; Tsinghua University
Conference: nips 2023 (main track)
Keywords: Diffusion Model;Image Generation
Decision: Poster
Title: Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships
Authors: ABHRA CHAUDHURI, Massimiliano Mancini, Zeynep Akata, Zeynep Akata, Anjan Dutta
Affiliations: University of Tübingen, MPI for Informatics; University of Exeter, The Alan Turing Institute, University of Surrey; University of Trento; The Alan Turing Institute, University of Surrey
Conference: nips 2023 (main track)
Keywords: Interpretability;Robustness;Fine-Grained Representation Learning;Graph Theory;Information Theory
Decision: Poster
Title: Language-driven Scene Synthesis using Multi-conditional Diffusion Model
Authors: An Dinh Vuong, Minh Nhat VU, Toan Nguyen, Baoru Huang, Dzung Nguyen, Thieu Vo, Anh Nguyen
Affiliations: Ton Duc Thang University, Vietnam; FSOFT AI Center, Vietnam; TU Wien, AIT GmbH, Austria; Imperial College London, UK; University of Liverpool, UK
Conference: nips 2023 (main track)
Keywords: scene synthesis;language-driven;diffusion models;multi-conditional generation;3D point cloud
Decision: Poster
Title: Provable benefits of score matching
Authors: Chirag Pabbaraju, Dhruv Rohatgi, Anish Prasad Sevekari, Holden Lee, Ankur Moitra, Andrej Risteski
Affiliations: Stanford University; MIT; Carnegie Mellon University; Johns Hopkins University
Conference: nips 2023 (main track)
Keywords: theory;score matching;exponential families;sample complexity;computational hardness
Decision: Spotlight
Title: Improved Best-of-Both-Worlds Guarantees for Multi-Armed Bandits: FTRL with General Regularizers and Multiple Optimal Arms
Authors: Tiancheng Jin, Junyan Liu, Haipeng Luo
Affiliations: University of California, San Diego; University of Southern California
Conference: nips 2023 (main track)
Keywords: multi-armed bandit;best of both worlds;Follow-the-Regularized-Leader;Tsallis entropy;Shannon entropy;Log-barrier
Decision: Poster
Title: Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards
Authors: Silviu Pitis
Affiliations: University of Toronto and Vector Institute
Conference: nips 2023 (main track)
Keywords: Normative Agency Design;Reward Design;Sequential Decision Making;Reinforcement Learning;Intertemporal Fairness;Multi-Objective Decision Making
Decision: Poster
Title: T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation
Authors: Kaiyi Huang, Kaiyue Sun, Enze Xie, Zhenguo Li, Xihui Liu
Affiliations: The University of Hong Kong; Huawei Noah’s Ark Lab
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: benchmark;compositional text-to-image generation
Decision: Poster
Title: CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion
Authors: Yangruibo Ding, Zijian Wang, Wasi Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang
Affiliations: AWS AI Labs; Columbia University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Code Benchmark;Code Evaluation;Code Completion;Cross-file Context;Project-level Context;Code Retrieval
Decision: Poster
Title: Zero-shot Visual Relation Detection via Composite Visual Cues from Large Language Models
Authors: Lin Li, Jun Xiao, Guikun Chen, Jian Shao, Yueting Zhuang, Long Chen
Affiliations: The Hong Kong University of Science and Technology; Zhejiang University
Conference: nips 2023 (main track)
Keywords: Visual relation detection;Zero-short learning;Scene graph generation
Decision: Poster
Title: Maximization of Average Precision for Deep Learning with Adversarial Ranking Robustness
Authors: Gang Li, Gang Li, Wei Tong, Tianbao Yang
Affiliations: Texas A&M University, College Station, USA; General Motors, Warren, USA
Conference: nips 2023 (main track)
Keywords: Adversarial Average Precision Maximization;Robust Average Precision;Adversarial Ranking Robustness;Adversarial Training
Decision: Spotlight
Title: BayesDAG: Gradient-Based Posterior Inference for Causal Discovery
Authors: Yashas Annadani, Nick Pawlowski, Joel Jennings, Joel Jennings, Stefan Bauer, Cheng Zhang, Wenbo Gong
Affiliations: KTH Royal Institute of Technology, Stockholm; Helmholtz AI, Munich; Microsoft Research
Conference: nips 2023 (main track)
Keywords: Causal Discovery;Structure Learning;Bayesian Inference;Variational Inference;MCMC;Generative Model
Decision: Poster
Title: ContinuAR: Continuous Autoregression For Infinite-Fidelity Fusion
Authors: WEI XING, Yuxin Wang, Zheng Xing
Affiliations: Graphics & Computing Department, Rockchip Electronics Co., Ltd, Fuzhou, China, 350003; Department of Statistics and Data Science, National University of Singapore, 21 Lower Kent Ridge Road, Singapore, 119077; School of Mathematics and Statistics, University of Sheffield, Hicks Building, Hounsfield Rd, Sheffield, UK, S3 7RH
Conference: nips 2023 (main track)
Keywords: Gaussian process;autoregression;multi fidelity;nonparametric Bayesian
Decision: Poster
Title: Subject-driven Text-to-Image Generation via Apprenticeship Learning
Authors: Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William Cohen
Affiliations: Google Deepmind; Google Research
Conference: nips 2023 (main track)
Keywords: Diffusion Model;Image Generation;Image Editing;In-Context Learning
Decision: Poster
Title: Federated Learning with Bilateral Curation for Partially Class-Disjoint Data
Authors: Ziqing Fan, ruipeng zhang, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang
Affiliations: Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai AI Laboratory; Hong Kong Baptist University
Conference: nips 2023 (main track)
Keywords: federated learning;data heterogeneity;partially class-disjoint data
Decision: Poster
Title: Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation
Authors: Ruida Zhou, Tao Liu, Min Cheng, Dileep Kalathil, P. R. Kumar, Chao Tian
Affiliations: Texas A&M University
Conference: nips 2023 (main track)
Keywords: robust reinforcement learning;policy-based approach;function approximation;actor-critic
Decision: Poster
Title: Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking
Authors: Frederik Kunstner, Victor Sanches Portella, Mark Schmidt, Nicholas Harvey
Affiliations: University of British Columbia, Canada; University of British Columbia, Canada, CIFAR AI Chair (Amii)†
Conference: nips 2023 (main track)
Keywords: line-search;gradient descent;hypergradient;adaptive methods;smooth;convex;optimization;preconditioning
Decision: Poster
Title: FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation
Authors: Jia Gu, Caizhi Tang, Han Yan, Qing Cui, Longfei Li, Jun Zhou
Affiliations: Guanghua School of Management, Peking University; Ant Group; Center for Statistical Science, Peking University
Conference: nips 2023 (main track)
Keywords: Data fusion;heterogeneous treatment effects estimation;shrinkage estimation;tree-based method
Decision: Poster
Title: Taming Local Effects in Graph-based Spatiotemporal Forecasting
Authors: Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi
Affiliations: The Swiss AI Lab IDSIA USI-SUPSI, Università della Svizzera italiana, Politecnico di Milano; The Swiss AI Lab IDSIA USI-SUPSI, Università della Svizzera italiana
Conference: nips 2023 (main track)
Keywords: time series forecasting;spatiotemporal forecasting;graph-based spatiotemporal forecasting;graph neural networks
Decision: Poster
Title: Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis
Authors: Dachao Lin, Yuze Han, Haishan Ye, Zhihua Zhang
Affiliations: Academy for Advanced Interdisciplinary Studies; Peking University; lindachao@pku.edu.cn; School of Management; Xi’an Jiaotong University; SGIT AI Lab, State Grid Corporation of China; yehaishan@xjtu.edu.cn; School of Mathematical Sciences; Peking University; hanyuze97@pku.edu.cn; School of Mathematical Sciences; Peking University; zhzhang@math.pku.edu.cn
Conference: nips 2023 (main track)
Keywords: distributed optimization;convex optimization;second-order similarity;client sampling
Decision: Poster
Title: Improving *day-ahead* Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context
Authors: Oussama Boussif, Ghait Boukachab, Dan Assouline, Stefano Massaroli, Tianle Yuan, Loubna Benabbou, Yoshua Bengio
Affiliations: Mila - Québec AI Institute, Université du Québec à Rimouski; Université du Québec à Rimouski; Mila - Québec AI Institute, Université de Montréal; NASA Goddard Space Flight Center
Conference: nips 2023 (main track)
Keywords: Time series forecasting;multi-modal learning;solar irradiance;context-enriched learning
Decision: Poster
Title: FedNAR: Federated Optimization with Normalized Annealing Regularization
Authors: Junbo Li, Ang Li, Chong Tian, Qirong Ho, Eric Xing, Hongyi Wang
Affiliations: Carnegie Mellon University; University of Maryland; Mohamed bin Zayed University of Artiﬁcial Intelligence
Conference: nips 2023 (main track)
Keywords: Federated learning;weight decay;adaptive hyperparameters
Decision: Poster
Title: Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations
Authors: Anudhyan Boral, Zhong Yi Wan, Leonardo Zepeda-Núñez, James Lottes, Qing Wang, Yi-Fan Chen, John Anderson, Fei Sha
Affiliations: Google Research, Mountain View, CA 94043, USA
Conference: nips 2023 (main track)
Keywords: partial differential equations;physics;turbulence;stochastic differential equations;physical simulation;neural differential equations
Decision: Poster
Title: Lending Interaction Wings to Recommender Systems with Conversational Agents
Authors: Jiarui Jin, Xianyu Chen, Fanghua Ye, Mengyue Yang, Yue Feng, Weinan Zhang, Yong Yu, Jun Wang
Affiliations: University College London; Shanghai Jiao Tong University
Conference: nips 2023 (main track)
Keywords: Conversational Agent;Recommender System;Conversational Recommendation
Decision: Poster
Title: Thrust: Adaptively Propels Large Language Models with External Knowledge
Authors: Xinran Zhao, Hongming Zhang, Xiaoman Pan, Wenlin Yao, Dong Yu, Jianshu Chen
Affiliations: Tencent AI Lab, Bellevue; Language Technologies Institute, Carnegie Mellon University; Tencent AI Lab, Bellevue
Conference: nips 2023 (main track)
Keywords: knowledge-intensive natural language processing;pre-trained language models;instance-level adaptive knowledge usage
Decision: Poster
Title: Do Not Marginalize Mechanisms, Rather Consolidate!
Authors: Moritz Willig, Matej Zečević, Devendra Dhami, Kristian Kersting
Affiliations: Technical University Darmstadt, Hessian Center for AI (hessian.AI), German Research Center for AI (DFKI); Eindhoven University of Technology, Hessian Center for AI (hessian.AI); Technical University of Darmstadt
Conference: nips 2023 (main track)
Keywords: Structural Causal Models;Marginalization;Consolidation;Compression
Decision: Poster
Title: SODA: Robust Training of Test-Time Data Adaptors
Authors: Zige Wang, Yonggang Zhang, Zhen Fang, Long Lan, Wenjing Yang, Bo Han
Affiliations: Hong Kong Baptist University; University of Technology Sydney; School of Computer Science, Peking University; National University of Defense Technology
Conference: nips 2023 (main track)
Keywords: test-time data adaptation;zeroth-order optimization;out-of-distribution generalization
Decision: Poster
Title: Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs
Authors: Dominik Straub, Matthias Schultheis, Heinz Koeppl, Constantin Rothkopf
Affiliations: Centre for Cognitive Science, Technische Universität Darmstadt
Conference: nips 2023 (main track)
Keywords: inverse optimal control;probabilistic modeling;motor control;cognitive science
Decision: Poster
Title: LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching
Authors: Duy M. H. Nguyen, Hoang Nguyen, Nghiem Diep, Tan Ngoc Pham, Tri Cao, Binh Nguyen, Paul Swoboda, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Pengtao Xie, Daniel Sonntag, Mathias Niepert
Affiliations: Helmholtz Munich, University Hospital Bonn; University of Texas at Austin; German Research Center for Artificial Intelligence, Oldenburg University; German Research Center for Artificial Intelligence; UC San Diego, MBZUAI; University of Science - VNUHCM; Max Planck Institute for Informatics; University of Stuttgart, IMPRS for Intelligent Systems
Conference: nips 2023 (main track)
Keywords: medical imaging; self-supervised learning; graph matching; large-vision model
Decision: Poster
Title: Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning
Authors: Yingcong Li, Kartik Sreenivasan, Angeliki Giannou, Dimitris Papailiopoulos, Samet Oymak
Affiliations: University of California, Riverside; University of Michigan & UC Riverside; University of Wisconsin-Madison
Conference: nips 2023 (main track)
Keywords: chain-of-thought;in-context learning;attention;compositional learning;approximation;length generalization
Decision: Poster
Title: Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning
Authors: Fangchen Yu, Runze Zhao, Zhan Shi, Yiwen Lu, Jicong Fan, Yicheng Zeng, Jianfeng Mao, Wenye Li
Affiliations: Shenzhen Research Institute of Big Data, Shenzhen, China; The Chinese University of Hong Kong, Shenzhen, China; Shenzhen Research Institute of Big Data, Shenzhen, China; The Chinese University of Hong Kong, Shenzhen, China
Conference: nips 2023 (main track)
Keywords: Spectral Clustering;Incomplete Data;Kernel Correction;Self-expressive Affinity Learning
Decision: Poster
Title: Mathematical Capabilities of ChatGPT
Authors: Simon Frieder, Luca Pinchetti, Chevalier, Ryan-Rhys Griffiths, Tommaso Salvatori, Thomas Lukasiewicz, Philipp Petersen, Julius Berner
Affiliations: VERSES AI Research Lab, Los Angeles, US; Faculty of Mathematics, University of Vienna, Vienna, Austria; Department of Computing and Mathematical Sciences, Caltech, Pasadena, US; Institute of Logic and Computation, Vienna University of Technology, Vienna, Austria; Department of Computer Science, University of Oxford, Oxford, UK; Department of Physics, University of Cambridge, Cambridge, UK; School of Mathematics, Institute for Advanced Study, Princeton, US
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: datasets;LLMs;ChatGPT;mathematical capabilities;evaluation;benchmarking
Decision: Poster
Title: Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks
Authors: Minki Kang, Seanie Lee, Jinheon Baek, Kenji Kawaguchi, Sung Ju Hwang
Affiliations: KAIST; National University of Singapore; KRAFTON, KAIST; KAIST, DeepAuto.ai
Conference: nips 2023 (main track)
Keywords: language model;distillation;reasoning;knowledge augmentation
Decision: Poster
Title: Validated Image Caption Rating Dataset
Authors: Lothar D Narins, Andrew Scott, Aakash Gautam, Anagha Kulkarni, Mar Castanon, Benjamin Kao, Shasta Ihorn, Yue-Ting Siu, James M. Mason, Alexander Blum, Ilmi Yoon
Affiliations: San Francisco State University; University of Pittsburgh; Stanford University; Washington State School for the Blind; UC Berkeley
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: dataset;human-in-the-loop;image captioning;visually-impaired;multimodal learning
Decision: Spotlight
Title: Hierarchical Multi-Agent Skill Discovery
Authors: Mingyu Yang, Yaodong Yang, Zhenbo Lu, Wengang Zhou, Houqiang Li
Affiliations: University of Science and Technology of China; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center; University of Science and Technology of China, Institute of Artificial Intelligence, Hefei Comprehensive National Science Center; Institute for AI, Peking University
Conference: nips 2023 (main track)
Keywords: Multi-Agent Reinforcement Learning;Hierarchical Skill Discovery;Probabilistic Graphical Model
Decision: Poster
Title: Optimal Algorithms for the Inhomogeneous Spiked Wigner Model
Authors: Aleksandr Pak, Justin Ko, Justin Ko, Florent Krzakala
Affiliations: EPFL; ENS de Lyon, EPFL; ENS de Lyon
Conference: nips 2023 (main track)
Keywords: Spectral Method;Community detection;Wigner Spike model;Random Matrix;BBP transition;Approximate Message Passing;Spin glasses;Statistical Physics
Decision: Poster
Title: RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path Tracing
Authors: Antoine Scardigli, Lukas Cavigelli, Lorenz K. Müller
Affiliations: Computing Systems Lab, Huawei Zurich Research Center, Switzerland
Conference: nips 2023 (main track)
Keywords: computer graphics;rendering;ray tracing;GPU acceleration;RL;spatiotemporal latent space
Decision: Poster
Title: Proximity-Informed Calibration for Deep Neural Networks
Authors: Miao Xiong, Ailin Deng, Pang Wei Koh, Jiaying Wu, Shen Li, Jianqing Xu, Bryan Hooi
Affiliations: National University of Singapore; University of Washington
Conference: nips 2023 (main track)
Keywords: Calibration;Uncertainty Estimation;Trustworthiness;Fairness;Multicalibration
Decision: Spotlight
Title: CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement
Authors: Qihe Huang, Lei Shen, Ruixin Zhang, Shouhong Ding, Binwu Wang, Zhengyang Zhou, Yang Wang
Affiliations: Youtu Laboratory, Tencent, Shanghai, China; University of Science and Technology of China (USTC), Hefei, China; Suzhou Institute for Advanced Research, USTC, Suzhou, China
Conference: nips 2023 (main track)
Keywords: Time Series Forecasting;
Decision: Poster
Title: Stability of Random Forests and Coverage of Random-Forest Prediction Intervals
Authors: Yan Wang, Huaiqing Wu, Dan Nettleton
Affiliations: Department of Statistics, Iowa State University, Ames, IA 50011; Department of Mathematics, Wayne State University, Detroit, MI 48202
Conference: nips 2023 (main track)
Keywords: Stability;Prediction Intervals;Random Forests
Decision: Poster
Title: The Tunnel Effect: Building Data Representations in Deep Neural Networks
Authors: Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani, Razvan Pascanu, Piotr Miłoś, Tomasz Trzcinski
Affiliations: University College London, UK; University of Alberta, Canada; IDEAS NCBR, Poland; Warsaw University of Technology, Poland
Conference: nips 2023 (main track)
Keywords: representation learning;continual learning;training dynamics
Decision: Poster
Title: Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs
Authors: Peng Jin, Yang Wu, Yanbo Fan, Zhongqian Sun, Wei Yang, Li Yuan
Affiliations: Tencent AI Lab, China; AI for Science (AI4S)-Preferred Program, Peking University Shenzhen Graduate School, China; Tencent AI Lab, China; School of Electronic and Computer Engineering, Peking University, Shenzhen, China; Peng Cheng Laboratory, Shenzhen, China; AI for Science (AI4S)-Preferred Program, Peking University Shenzhen Graduate School, China; School of Electronic and Computer Engineering, Peking University, Shenzhen, China; AI for Science (AI4S)-Preferred Program, Peking University Shenzhen Graduate School, China
Conference: nips 2023 (main track)
Keywords: Text-driven Motion Synthesis;Diffusion Models;Graph networks
Decision: Poster
Title: GSLB: The Graph Structure Learning Benchmark
Authors: Zhixun Li, Liang Wang, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Yu
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Graph Neural Networks;Graph Structure Learning;Data Mining
Decision: Poster
Title: Compact Neural Volumetric Video Representations with Dynamic Codebooks
Authors: Haoyu Guo, Sida Peng, Yunzhi Yan, Linzhan Mou, Yujun Shen, Hujun Bao, Xiaowei Zhou
Affiliations: Zhejiang University; Ant Group
Conference: nips 2023 (main track)
Keywords: Computer Vision;3D Vision;Volumetric Video
Decision: Poster
Title: Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?
Authors: Fan Yao, Chuanhao Li, Karthik Abinav Sankararaman, Yiming Liao, Yan Zhu, Qifan Wang, Hongning Wang, Haifeng Xu
Affiliations: University of Virginia; Yale University; University of Chicago; Google; Meta
Conference: nips 2023 (main track)
Keywords: Recommender system;Mechanism design;Potential function;Optimization
Decision: Poster
Title: Fair Graph Distillation
Authors: Qizhang Feng, Zhimeng (Stephen) Jiang, Ruiquan Li, Yicheng Wang, Na Zou, Jiang Bian, Xia Hu
Affiliations: University of Florida; University of Science and Technology of China; Texas A&M University; Rice University
Conference: nips 2023 (main track)
Keywords: Graph Distillation;Algorithmic Fairness
Decision: Poster
Title: Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy
Authors: Dongmin Park, Seola Choi, Doyoung Kim, Hwanjun Song, Jae-Gil Lee
Affiliations: KAIST; AWS AI Labs
Conference: nips 2023 (main track)
Keywords: Data Pruning;Data Subset Selection;Noisy Labels;Relabeling;Self-training
Decision: Poster
Title: Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles
Authors: Ben Ruben, Cengiz Pehlevan
Affiliations: Biophysics Graduate Program, Harvard University; Center for Brain Science, John A. Paulson School of Engineering and Applied Sciences, Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University
Conference: nips 2023 (main track)
Keywords: ridge regression;ensembling methods
Decision: Poster
Title: For SALE: State-Action Representation Learning for Deep Reinforcement Learning
Authors: Scott Fujimoto, Wei-Di Chang, Edward Smith, Shixiang (Shane) Gu, Doina Precup, David Meger
Affiliations: McGill University; Google DeepMind; Mila, McGill University
Conference: nips 2023 (main track)
Keywords: Deep reinforcement learning;representation learning
Decision: Poster
Title: Practical Equivariances via Relational Conditional Neural Processes
Authors: Daolang Huang, Manuel Haussmann, Ulpu Remes, ST John, Grégoire Clarté, Kevin Sebastian Luck, Kevin Luck, Samuel Kaski, Luigi Acerbi
Affiliations: Department of Computer Science, University of Helsinki; Department of Mathematics and Statistics, University of Helsinki; Department of Computer Science, Aalto University, Finland; Department of Electrical Engineering and Automation (EEA), Aalto University, Finland
Conference: nips 2023 (main track)
Keywords: neural processes;equivariance;Gaussian processes
Decision: Poster
Title: On Evaluating Adversarial Robustness of Large Vision-Language Models
Authors: Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Chongxuan LI, Ngai-Man (Man) Cheung, Min Lin
Affiliations: Singapore University of Technology and Design; Renmin University of China; Sea AI Lab, Singapore; Tsinghua University
Conference: nips 2023 (main track)
Keywords: Large Vision-Language Models;Adversarial Robustness
Decision: Poster
Title: Adversarial Resilience in Sequential Prediction via Abstention
Authors: Surbhi Goel, Steve Hanneke, Shay Moran, Abhishek Shetty
Affiliations: Technion and Google Research, Israel; Purdue University; University of California, Berkeley; University of Pennsylvania
Conference: nips 2023 (main track)
Keywords: Sequential prediction;adversarial examples;abstention;out-of-distribution;VC Classes
Decision: Poster
Title: Towards Data-Agnostic Pruning At Initialization: What Makes a Good Sparse Mask?
Authors: Hoang Pham, The Anh Ta, Shiwei Liu, Shiwei Liu, Lichuan Xiang, Dung Le, Hongkai Wen, Long Tran-Thanh
Affiliations: VinUniversity; CSIRO’s Data61; University of Texas at Austin; University of Warwick; FPT Software AI Center
Conference: nips 2023 (main track)
Keywords: Pruning Neural Network;Sparsity;Neural Architecture Search
Decision: Poster