hunoutl/paperlists huggingface dataset:
Title: How hard are computer vision datasets? Calibrating dataset difficulty to viewing time
Authors: David Mayo, Jesse Cummings, Xinyu Lin, Dan Gutfreund, Boris Katz, Andrei Barbu
Affiliations: MIT-IBM Watson AI Lab, IBM; CSAIL & CBMM, MIT
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Deep learning;Representation learning;Cognitive science;Computer vision datasets
Decision: Poster
Title: Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization
Authors: Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang
Affiliations: Southern University of Science and Technology; City University of Hong Kong
Conference: nips 2023 (main track)
Keywords: Neural Combinatorial Optimization;Generalization;Large scale problem;Heavy decoder
Decision: Poster
Title: Public Opinion Field Effect Fusion in Representation Learning for Trending Topics Diffusion
Authors: Junliang Li, Yang Yajun, Qinghua Hu, Xin Wang, Hong Gao
Affiliations: College of Mathematics and Computer Science, Zhejiang Normal University, China; College of Intelligence and Computing, Tianjin University, China; College of Intelligence and Computing, Tianjin University, China; State Key Laboratory of Communication Content Cognition, Beijing, China
Conference: nips 2023 (main track)
Keywords: public opinion field effect;heterogeneous networks;representation learning;trending topic diffusion
Decision: Poster
Title: On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models
Authors: Yufan Cai, Yun Lin, Chenyan Liu, Jinglian Wu, Yifan Zhang, Yiming Liu, Yeyun Gong, Jin Song Dong
Affiliations: National University of Singapore; Microsoft; Shanghai Jiao Tong University; Shanghai Jiao Tong University, National University of Singapore
Conference: nips 2023 (main track)
Keywords: Code Summarization;Adaptation;Language Model
Decision: Poster
Title: Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction
Authors: Tianyu Liu, Qitan Lv, Jie Wang, Shuling Yang, Hanzhu Chen
Affiliations: University of Science and Technology of China; University of Science and Technology of China, Institute of Artificial Intelligence, Hefei Comprehensive National Science Center
Conference: nips 2023 (main track)
Keywords: inductive relation prediction;knowledge graph completion;knowledge graph reasoning
Decision: Poster
Title: Relax, it doesn’t matter how you get there: A new self-supervised approach for multi-timescale behavior analysis
Authors: Mehdi Azabou, Michael Mendelson, Nauman Ahad, Maks Sorokin, Shantanu Thakoor, Carolina Urzay, Eva Dyer
Affiliations: DeepMind; Georgia Tech
Conference: nips 2023 (main track)
Keywords: animal behavior;behavioral neuroscience;self-supervised learning;multi-timescale
Decision: Spotlight
Title: Cheaply Estimating Inference Efficiency Metrics for Autoregressive Transformer Models
Authors: Deepak Narayanan, Keshav Santhanam, Peter Henderson, Peter Henderson, Rishi Bommasani, Tony Lee, Percy Liang
Affiliations: Stanford University; NVIDIA
Conference: nips 2023 (main track)
Keywords: Systems for Machine Learning;Inference efficiency;Transformer models;Text generation APIs;Capability-efficiency tradeoffs
Decision: Poster
Title: Towards Consistent Video Editing with Text-to-Image Diffusion Models
Authors: Zicheng Zhang, Bonan Li, Xuecheng Nie, Congying Han, Tiande Guo, Luoqi Liu
Affiliations: University of Chinese Academy of Sciences; MT Lab, Meitu Inc.
Conference: nips 2023 (main track)
Keywords: diffusion model;video editing;text-to-video diffusion model
Decision: Poster
Title: On Imitation in Mean-field Games
Authors: Giorgia Ramponi, Pavel Kolev, Olivier Pietquin, Niao He, Mathieu Lauriere, Matthieu Geist
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany; ETH Zurich, Department of Computer Science; Google DeepMind; ETH AI Center, Zurich
Conference: nips 2023 (main track)
Keywords: Mean-field games;Imitation Learning
Decision: Poster
Title: IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI
Authors: Bochuan Cao, Changjiang Li, Ting Wang, Jinyuan Jia, Bo Li, Jinghui Chen
Affiliations: Stony Brook University; University of Illinois, Urbana Champaign; The Pennsylvania State University
Conference: nips 2023 (main track)
Keywords: Image Generation Godels;Latent Diffusion Models;Image Purifying
Decision: Poster
Title: Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts
Authors: Zeyang Zhang, Xin Wang, Ziwei Zhang, Zhou Qin, Weigao Wen, Hui Xue', Haoyang Li, Wenwu Zhu
Affiliations: Department of Computer Science and Technology, BNRist, Tsinghua University; Alibaba Group
Conference: nips 2023 (main track)
Keywords: Dynamic Graph Neural Networks;Out-of-Distribution Generalization
Decision: Poster
Title: How to Turn Your Knowledge Graph Embeddings into Generative Models
Authors: Lorenzo Loconte, Nicola Di Mauro, Robert Peharz, Antonio Vergari
Affiliations: University of Bari, Italy; TU Graz, Austria; University of Edinburgh, UK
Conference: nips 2023 (main track)
Keywords: knowledge graph;knowledge graph embeddings;probabilistic circuits;probabilistic reasoning;tractable inference
Decision: Oral
Title: ANPL: Towards Natural Programming with Interactive Decomposition
Authors: Di Huang, Ziyuan Nan, Xing Hu, Pengwei Jin, Shaohui Peng, Yuanbo Wen, Rui Zhang, Zidong Du, Qi Guo, Yewen Pu, Yunji Chen
Affiliations: SKL of Processors, Institute of Computing Technology, CAS; Autodesk Research; Intelligent Software Research Center, Institute of Software, CAS
Conference: nips 2023 (main track)
Keywords: programming language;large language models;program synthesis;code generation;human-ai interaction
Decision: Poster
Title: Federated Spectral Clustering via Secure Similarity Reconstruction
Authors: Dong Qiao, Chris Ding, Jicong Fan
Affiliations: 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: clustering;federated learning;privacy
Decision: Poster
Title: BanditPAM++: Faster $k$-medoids Clustering
Authors: Mo Tiwari, Ryan Kang, Donghyun Lee, Sebastian Thrun, Ilan Shomorony, Martin Zhang
Affiliations: Stanford University; University of Illinois at Urbana-Champaign; Carnegie Mellon University; University College London
Conference: nips 2023 (main track)
Keywords: multi-armed bandits;clustering;k-medoids;best-arm identification
Decision: Poster
Title: Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder
Authors: Huiwon Jang, Jihoon Tack, Daewon Choi, Jongheon Jeong, Jinwoo Shin
Affiliations: Korea Advanced Institute of Science and Technology (KAIST); Korea University
Conference: nips 2023 (main track)
Keywords: Self-Supervised Learning;Modality-Agnostic Self-Supervised Learning;Meta-Learning;Masked Auto-Encoder
Decision: Poster
Title: GenS: Generalizable Neural Surface Reconstruction from Multi-View Images
Authors: Rui Peng, Xiaodong Gu, Luyang Tang, Shihe Shen, Fanqi Yu, Ronggang Wang
Affiliations: Alibaba Group; School of Electronic and Computer Engineering, Peking University; Peng Cheng Laboratory; School of Electronic and Computer Engineering, Peking University
Conference: nips 2023 (main track)
Keywords: Generalizable Neural Surface;Volume Rendering;Signed Distance Function
Decision: Poster
Title: Learning Environment-Aware Affordance for 3D Articulated Object Manipulation under Occlusions
Authors: Ruihai Wu, Kai Cheng, Yan Zhao, Chuanruo Ning, Guanqi Zhan, Hao Dong
Affiliations: School of EECS, PKU; University of Oxford; CFCS, School of CS, PKU; National Key Laboratory for Multimedia Information Processing, School of CS, PKU
Conference: nips 2023 (main track)
Keywords: Visual Affordance for Robotics;Articulated Object Manipulation;Occlusion Handling
Decision: Poster
Title: Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition
Authors: Wei He, Kai Han, Ying Nie, Chengcheng Wang, Yunhe Wang
Affiliations: Huawei Noah’s Ark Lab
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Invasion biometrics;Fine-grained dataset;Pre-training
Decision: Poster
Title: Reusing Pretrained Models by Multi-linear Operators for Efficient Training
Authors: Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu
Affiliations: Pengcheng Laboratory, Shenzhen, China; Huawei Noah’s Ark Lab, Shenzhen, Guangdong, China; Harbin Institute of Technology Shenzhen, Shenzhen, Guangdong, China; Peking University, Beijing, China
Conference: nips 2023 (main track)
Keywords: Model Growth;Efficient Training;Pretrained Model;Multi-linearity
Decision: Poster
Title: WildfireSpreadTS: A dataset of multi-modal time series for wildfire spread prediction
Authors: Sebastian Gerard, Yu Zhao, Josephine Sullivan
Affiliations: KTH Royal Institute of Technology, 11428 Stockholm, Sweden
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: remote sensing;satellite images;earth observation;computer vision;multi-temporal;climate change
Decision: Poster
Title: Feature Selection in the Contrastive Analysis Setting
Authors: Ethan Weinberger, Ian Covert, Su-In Lee
Affiliations: Paul G. Allen School of Computer Science, University of Washington, Seattle, WA 98195; Department of Computer Science, Stanford University, Stanford, CA 94305
Conference: nips 2023 (main track)
Keywords: Feature selection;contrastive analysis;computational biology;representation learning;information theory
Decision: Poster
Title: SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization
Authors: Hao Dong, Ismail Nejjar, Han Sun, Eleni Chatzi, Olga Fink
Affiliations: ETH Zürich; EPFL
Conference: nips 2023 (main track)
Keywords: Domain Generalization;Multi-modal Learning;Distribution Shift;Out-of-distribution Generalization
Decision: Poster
Title: Active representation learning for general task space with applications in robotics
Authors: Yifang Chen, Yingbing Huang, Simon Du, Kevin Jamieson, Guanya Shi
Affiliations: Robotics Institute, Carnegie Mellon University, Pittsburgh, PA; Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA; University of Illinois Urbana-Champaign, Champaign, IL
Conference: nips 2023 (main track)
Keywords: active learning;representation learning;robotics;theory
Decision: Poster
Title: Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation
Authors: Nikki Lijing Kuang, Ming Yin, Mengdi Wang, Yu-Xiang Wang, Yian Ma
Affiliations: Princeton University; University of California, Santa Barbara; University of California, San Diego
Conference: nips 2023 (main track)
Keywords: Posterior Sampling;Reinforcement Learning Theory;Linear Markov Decision Processes;Delayed Feedback;Langevin Monte Carlo
Decision: Poster
Title: H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models
Authors: Zhenyu Zhang, Ying Sheng, Tianyi Zhou, Tianlong Chen, Tianlong Chen, Lianmin Zheng, Ruisi Cai, Zhao Song, Yuandong Tian, Christopher Ré, Clark Barrett, Zhangyang "Atlas" Wang, Beidi Chen
Affiliations: Meta AI (FAIR); University of Texas at Austin; University of California, Berkeley; Carnegie Mellon University; Adobe Research; Stanford University; University of California, San Diego
Conference: nips 2023 (main track)
Keywords: Large Language Models; Efficient Generative Inference
Decision: Poster
Title: Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective
Authors: Pengfei Wei, Lingdong Kong, Xinghua Qu, Yi Ren, Zhiqiang Xu, Jing Jiang, Xiang Yin
Affiliations: AI Lab, ByteDance; National University of Singapore; University of Technology Sydney; MBZUAI
Conference: nips 2023 (main track)
Keywords: action recognition;unsupervised domain adaptation;video analysis
Decision: Poster
Title: Spectral Co-Distillation for Personalized Federated Learning
Authors: Zihan Chen, Howard Yang, Tony Quek, Kai Fong Ernest Chong
Affiliations: Singapore University of Technology and Design (SUTD); Zhejiang University/University of Illinois Urbana-Champaign Institute, Zhejiang University
Conference: nips 2023 (main track)
Keywords: Personalized federated learning;spectral bias;co-distillation;communication efficiency
Decision: Poster
Title: Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering
Authors: Yijun Dong
Affiliations: Courant Institute of Mathematical Sciences, New York University, New York, NY; Oden Institute for Computational Engineering & Science, University of Texas at Austin, Austin, TX; Courant Institute of Mathematical Sciences & Center of Data Science, New York University, New York, NY
Conference: nips 2023 (main track)
Keywords: Relational knowledge distillation;Semi-supervised learning;Spectral clustering;Sample complexity
Decision: Poster
Title: Dynamic Personalized Federated Learning with Adaptive Differential Privacy
Authors: Xiyuan Yang, Wenke Huang, Mang Ye
Affiliations: National Engineering Research Center for Multimedia Software, Institute of Artificial Intelligence, Hubei Key Laboratory of Multimedia and Network Communication Engineering, School of Computer Science, Hubei Luojia Laboratory, Wuhan University, Wuhan, China.
Conference: nips 2023 (main track)
Keywords: federated learning;differential privacy;personalization
Decision: Poster
Title: Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
Authors: Jianing Zhu, Yu Geng, Jiangchao Yao, Tongliang Liu, Gang Niu, Masashi Sugiyama, Bo Han
Conference: nips 2023 (main track)
Keywords: out-of-distribution detection;outlier exposure
Decision: Poster
Title: Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities
Authors: Aleksandr Beznosikov, Martin Takac, Alexander Gasnikov
Affiliations: MIPT, Skoltech, IITP RAS; Innopolis University, Skoltech, MIPT, Yandex; MBZUAI
Conference: nips 2023 (main track)
Keywords: convex optimization;variational inequalities;similarity;local methods;compression;partial participation
Decision: Poster
Title: RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization
Authors: Zhecheng Yuan, Sizhe Yang, Pu Hua, Can Chang, Kaizhe Hu, Huazhe Xu
Affiliations: Tsinghua University, Shanghai Qi Zhi Institute, Shanghai AI Lab; University of Electronic Science and Technology of China, Shanghai Qi Zhi Institute
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Visual Generalization;Visual RL;Benchmark
Decision: Poster
Title: SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks
Authors: Bill Yuchen Lin, Yicheng Fu, Karina Yang, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Prithviraj Ammanabrolu, Yejin Choi, Xiang Ren
Affiliations: 4Paradigm Inc.; University of Washington; University of Southern California; Allen Institute for Artiﬁcial Intelligence; Tsinghua University; University of California, San Diego
Conference: nips 2023 (main track)
Keywords: interactive reasoning;text game;agents;action planning;large language models
Decision: Spotlight
Title: Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel
Authors: Valerii Likhosherstov, Krzysztof M Choromanski, Kumar Avinava Dubey, Frederick Liu, Tamas Sarlos, Adrian Weller
Affiliations: Google DeepMind & Columbia University; University of Cambridge; University of Cambridge & The Alan Turing Institute; Google Research
Conference: nips 2023 (main track)
Keywords: Gaussian kernel;softmax kernel
Decision: Poster
Title: ClusterFomer: Clustering As A Universal Visual Learner
Authors: James Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu
Affiliations: University of Rochester; Rochester Institute of Technology; Meta AI; University of Florida; Zhejiang University
Conference: nips 2023 (main track)
Keywords: Universal Model;Clustering
Decision: Poster
Title: Self-Refine: Iterative Refinement with Self-Feedback
Authors: Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Shashank Gupta, Bodhisattwa Prasad Majumder, Katherine Hermann, Sean Welleck, Sean Welleck, Amir Yazdanbakhsh, Peter Clark
Affiliations: UC San Diego; NVIDIA; University of Washington; Google Deepmind; Language Technologies Institute, Carnegie Mellon University; Allen Institute for Artificial Intelligence; Allen Institute for Artificial Intelligence, University of Washington
Conference: nips 2023 (main track)
Keywords: LLMs;Iterative Refinement;Feedback-driven Generation
Decision: Poster
Title: Efficient Equivariant Transfer Learning from Pretrained Models
Authors: Sourya Basu, Pulkit Katdare, Prasanna Sattigeri, Vijil Chenthamarakshan, Katherine Driggs-Campbell, Payel Das, Lav Varshney
Affiliations: University of Illinois at Urbana-Champaign; IBM Research
Conference: nips 2023 (main track)
Keywords: zero-shot learning;equivariant machine learning;equivariant fine-tuning;pretrained models
Decision: Poster
Title: Posterior Sampling for Competitive RL: Function Approximation and Partial Observation
Authors: Shuang Qiu, Ziyu Dai, Han Zhong, Zhaoran Wang, Zhuoran Yang, Tong Zhang
Affiliations: New York University; Peking University; Yale University; Northwestern University; HKUST
Conference: nips 2023 (main track)
Keywords: Markov game;Partial observation;Function approximation;Posterior sampling;Reinforcement Learning
Decision: Poster
Title: $p$-Poisson surface reconstruction in curl-free flow from point clouds
Authors: Yesom Park, Taekyung Lee, Jooyoung Hahn, Myungjoo Kang
Affiliations: Department of Mathematics and Descriptive Geometry, Slovak University of Technology in Bratislava; Interdisciplinary Program in Artificial Intelligence, Seoul National University; Department of Mathematical Sciences, Seoul National University
Conference: nips 2023 (main track)
Keywords: Surface reconstruction;Signed distance function;Implicit neural representations;Point cloud
Decision: Poster
Title: Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions
Authors: Kai Liu, Zhihang Fu, Chao Chen, Sheng Jin, Ze Chen, Mingyuan Tao, Rongxin Jiang, Jieping Ye
Affiliations: Alibaba Cloud; Zhejiang University
Conference: nips 2023 (main track)
Keywords: out-of-distribution detection;vision-language models;category-extendable classification
Decision: Poster
Title: Towards Self-Interpretable Graph-Level Anomaly Detection
Authors: Yixin Liu, Kaize Ding, Qinghua Lu, Fuyi Li, Leo Yu Zhang, Shirui Pan
Affiliations: Northwest A&F University; Monash University; Northwestern University; Griffith University; Data61, CSIRO
Conference: nips 2023 (main track)
Keywords: Anomaly Detection;Graph Neural Networks;Explanation;Self-Interpretation
Decision: Poster
Title: Structure Learning with Adaptive Random Neighborhood Informed MCMC
Authors: Xitong Liang, Alberto Caron, Samuel Livingstone, Jim Griffin
Affiliations: The Alan Turing Institute, London, UK; Department of Statistical Sciences, University College London, London, UK
Conference: nips 2023 (main track)
Keywords: Bayesian Networks;structure MCMC on graphs;Structure Learning;Random neighborhood samplers;Locally informed Metropolis-Hastings schemes
Decision: Poster
Title: Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural Network Derivatives
Authors: Yahong Yang, Haizhao Yang, Yang Xiang
Affiliations: Department of Mathematics, The Pennsylvania State University, University Park, State College, PA, USA; Department of Mathematics, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong SAR, China; Department of Mathematics and Department of Computer Science, University of Maryland College Park, College Park, MD, USA; Department of Mathematics, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong SAR, China; Algorithms of Machine Learning and Autonomous Driving Research Lab, HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute, Futian, Shenzhen, China
Conference: nips 2023 (main track)
Keywords: VC-dimension;pseudo-dimension;Sobolev space;generalization error;nearly optimal approximation
Decision: Poster
Title: SARAMIS: Simulation Assets for Robotic Assisted and Minimally Invasive Surgery
Authors: Nina Montana-Brown, Shaheer U. Saeed, Ahmed Abdulaal, Thomas Dowrick, Yakup Kilic, Sophie Wilkinson, Jack Gao, Meghavi Mashar, Chloe He, Alkisti Stavropoulou, Emma Thomson, Zachary MC Baum, Simone Foti, Brian Davidson, Yipeng Hu, Matthew Clarkson
Affiliations: University College London Hospitals; Welcome/EPSRC Centre for Interventional And Surgical Sciences, London, United Kingdom; Centre for Medical Image Computing, UCL, London, United Kingdom
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Minimally-invasive surgery;simulation;reinforcement learning;computer vision;synthetic data
Decision: Poster
Title: Graph Convolutional Kernel Machine versus Graph Convolutional Networks
Authors: Zhihao Wu, Zhao Zhang, Jicong Fan
Affiliations: Shenzhen Research Institute of Big Data, Shenzhen, China; Hefei University of Technology, Hefei, China; The Chinese University of Hong Kong, Shenzhen, China
Conference: nips 2023 (main track)
Keywords: graph neural network;kernel method
Decision: Poster
Title: Collaborative Learning via Prediction Consensus
Authors: Dongyang Fan, Celestine Mendler-Dünner, Martin Jaggi
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany; ELLIS Institute Tübingen, Germany; EPFL, Switzerland
Conference: nips 2023 (main track)
Keywords: Collaborative training;decentralized learning;consensus reaching
Decision: Poster
Title: Concept Algebra for (Score-Based) Text-Controlled Generative Models
Authors: Zihao Wang, Lin Gui, Jeffrey Negrea, Victor Veitch
Affiliations: Data Science Institute, University of Chicago and Google Research; Department of Statistics, University of Chicago; Data Science Institute, University of Chicago
Conference: nips 2023 (main track)
Keywords: disentanglement; representation learning; text-controlled generative models; diffusion models
Decision: Poster
Title: Contextual Stochastic Bilevel Optimization
Authors: Yifan Hu, Jie Wang, Yao Xie, Andreas Krause, Daniel Kuhn
Affiliations: Gatech, United States; ETH Zürich, Switzerland; EPFL, Switzerland; EPFL & ETH Zürich, Switzerland
Conference: nips 2023 (main track)
Keywords: stochastic optimization;bilevel optimization;contextual stochastic optimization;Multilevel Monte Carlo
Decision: Poster
Title: Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach
Authors: Nurendra Choudhary, Nikhil Rao, Chandan Reddy
Affiliations: Microsoft, Sunnyvale, CA, USA; Virginia Tech, Arlington, VA, USA
Conference: nips 2023 (main track)
Keywords: meta learning;hyperbolic networks;scalability;graph neural networks
Decision: Poster
Title: Unlocking Deterministic Robustness Certification on ImageNet
Authors: Kai Hu, Andy Zou, Zifan Wang, Klas Leino, Matt Fredrikson
Affiliations: Carnegie Mellon University, Pittsburgh, PA 15213; Center for AI Safety, San Francisco, CA 94111
Conference: nips 2023 (main track)
Keywords: adversarial robustness;ImageNet;Lipschitz-based certification;ResNet;adversarial examples;ML security
Decision: Poster
Title: OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents
Authors: Hugo Laurençon, Lucile Saulnier, Leo Tronchon, Stas Bekman, Amanpreet Singh, Anton Lozhkov, Thomas Wang, Siddharth Karamcheti, Alexander Rush, Douwe Kiela, Matthieu Cord, Victor Sanh
Affiliations: Hugging Face; Sorbonne Université; Hugging Face, Stanford University; Stanford University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: dataset;multimodal;machine learning
Decision: Poster
Title: Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning
Authors: Tyler Kastner, Murat Erdogdu, Amir-massoud Farahmand
Affiliations: Vector Institute, University of Toronto; University of Toronto, Vector Institute
Conference: nips 2023 (main track)
Keywords: Reinforcement learning;Risk-Sensitive Reinforcement Learning;Model-Based Reinforcement Learning;Distributional Reinforcement Learning
Decision: Poster