hunoutl/paperlists huggingface dataset:
Title: Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective
Authors: Chenyu You, Weicheng Dai, Yifei Min, Fenglin Liu, David Clifton, S. Kevin Zhou, Lawrence Staib, James Duncan
Affiliations: University of Science and Technology of China; University of Oxford; Yale University
Conference: nips 2023 (main track)
Keywords: Long-tailed Medical Image Segmentation;Contrastive Learning;Variance Reduction;Imbalanced Learning;Semi-Supervised Learning
Decision: Poster
Title: OpenAGI: When LLM Meets Domain Experts
Authors: Yingqiang Ge, Wenyue Hua, Kai Mei, jianchao ji, Juntao Tan, Shuyuan Xu, Zelong Li, Yongfeng Zhang
Affiliations: Rutgers University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Large Language Model;Artificial General Intelligence;AI Agents;Complex Task Solving;Open-domain Model Synthesis;Compositionality
Decision: Poster
Title: How Does Adaptive Optimization Impact Local Neural Network Geometry?
Authors: Kaiqi Jiang, Dhruv Malik, Yuanzhi Li
Affiliations: Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ 08540; Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213
Conference: nips 2023 (main track)
Keywords: optimization;adaptive algorithms;neural networks
Decision: Poster
Title: NeRF Revisited: Fixing Quadrature Instability in Volume Rendering
Authors: Mikaela Angelina Uy, Kiyohiro Nakayama, Guandao Yang, Rahul Thomas, Leonidas Guibas, Ke Li
Affiliations: Stanford University; Simon Fraser University, Google; Stanford University, Cornell University
Conference: nips 2023 (main track)
Keywords: neural radiance fields;volumetric rendering;nerfs;numerical quadrature;importance sampling
Decision: Poster
Title: Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer
Authors: Zikai Xiao, Zihan Chen, Songshang Liu, Hualiang Wang, YANG FENG, Jin Hao, Joey Tianyi Zhou, Jian Wu, Howard Yang, Zuozhu Liu
Affiliations: State Key Laboratory of Oral Diseases, Sichuan University; Singapore University of Technology and Design; Centre for Frontier AI Research (CFAR), A*STAR, Singapore; Angelalign Technology Inc; The Hong Kong University of Science and Technology; Zhejiang University
Conference: nips 2023 (main track)
Keywords: Federated learning;Long-tailed learning;Data heterogeneity
Decision: Poster
Title: Labeling Neural Representations with Inverse Recognition
Authors: Kirill Bykov, Laura Kopf, Shinichi Nakajima, Marius Kloft, Marina Höhne
Affiliations: UMI Lab, ATB Potsdam, University of Potsdam, Germany; UMI Lab, ATB Potsdam, Potsdam, Germany; Machine Learning Group, RPTU Kaiserslautern-Landau, Kaiserslautern, Germany; Machine Learning Group, TU Berlin, Berlin, Germany
Conference: nips 2023 (main track)
Keywords: Explainable AI;Mechanistic Interpretability;Machine Learning;Deep Neural Networks
Decision: Poster
Title: Triangulation Residual Loss for Data-efficient 3D Pose Estimation
Authors: Jiachen Zhao, Tao Yu, Liang An, Yipeng Huang, Fang Deng, Qionghai Dai
Affiliations: Beijing Institute of Technology, Beijing, China 100081; Tsinghua University, Beijing, China 100084
Conference: nips 2023 (main track)
Keywords: 3D pose estimation;triangulation;animal pose estimation
Decision: Poster
Title: SiT Dataset: Socially Interactive Pedestrian Trajectory Dataset for Social Navigation Robots
Authors: Jong Wook Bae, Jungho Kim, Junyong Yun, Changwon Kang, Jeongseon Choi, Chanhyeok Kim, Junho Lee, Jungwook Choi, Jun Won Choi
Affiliations: Hanyang University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: robotics;human interaction
Decision: Poster
Title: OpenProteinSet: Training data for structural biology at scale
Authors: Gustaf Ahdritz, Nazim Bouatta, Sachin Kadyan, Lukas Jarosch, Dan Berenberg, Ian Fisk, Andrew Watkins, Stephen Ra, Richard Bonneau, Mohammed AlQuraishi
Affiliations: Prescient Design, Genentech; Columbia University; Harvard University; Department of Systems Biology, Columbia University; Flatiron Institute; Laboratory of Systems Pharmacology, Harvard Medical School; Prescient Design, Genentech & Department of Computer Science, New York University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: openproteinset;multiple sequence alignment;structural template;protein folding;alphafold 2;openfold
Decision: Poster
Title: Content-based Unrestricted Adversarial Attack
Authors: Zhaoyu Chen, Bo Li, Shuang Wu, Kaixun Jiang, Shouhong Ding, Wenqiang Zhang
Affiliations: Academy for Engineering and Technology, Fudan University and School of Computer Science, Fudan University; Academy for Engineering and Technology, Fudan University and Youtu Lab, Tencent; Academy for Engineering and Technology, Fudan University; Youtu Lab, Tencent
Conference: nips 2023 (main track)
Keywords: unrestricted attack;adversarial example;diffusion model;black-box attack;adversarial transferability
Decision: Poster
Title: BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization
Authors: Chen Fan, Gaspard Choné-Ducasse, Mark Schmidt, Christos Thrampoulidis
Affiliations: Ecole Normale Supérieure; University of British Columbia; University of British Columbia, Canada CIFAR AI Chair (Amii)
Conference: nips 2023 (main track)
Keywords: Adaptive step sizes;bi-level optimization;convergence rates;line searches
Decision: Poster
Title: Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback
Authors: Mihir Prabhudesai, Tsung-Wei Ke, Alex Li, Deepak Pathak, Katerina Fragkiadaki
Affiliations: Carnegie Mellon University
Conference: nips 2023 (main track)
Keywords: test-time adaptation;diffusion models;generative models;classification;segmentation;depth prediction
Decision: Poster
Title: Learning Provably Robust Estimators for Inverse Problems via Jittering
Authors: Anselm Krainovic, Mahdi Soltanolkotabi, Reinhard Heckel
Affiliations: Technical University of Munich; University of Southern California
Conference: nips 2023 (main track)
Keywords: Adversarial Training;Jittering;Denoising;Deconvolution;Compressive Sensing;Inverse Problems;Robustness
Decision: Poster
Title: Global Convergence Analysis of Local SGD for Two-layer Neural Network without Overparameterization
Authors: Yajie Bao, Amarda Shehu, Mingrui Liu
Affiliations: Department of Computer Science, George Mason University, Fairfax, VA 22030; School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, 200240
Conference: nips 2023 (main track)
Keywords: convolutional neural network;gaussian input;local SGD;global convergence;non-convex optimization
Decision: Poster
Title: Differentiable sorting for censored time-to-event data.
Authors: Andre Vauvelle, Benjamin Wild, Roland Eils, Spiros Denaxas
Affiliations: University College London; Berlin Institute of Health
Conference: nips 2023 (main track)
Keywords: Survival Analysis;Censored Data;Semi-supervised Learning;Time-to-event-data;Algorithmic Supervision;Sorting;Risk Prediction;Weakly-supervised Learning;Machine Learning;Cox's Partial Likelihood;Differentiable Sorting Networks;Transitive Inductive Bias;Ranking Losses;Listwise Ranking;Healthcare Applications;Deep Learning;Neural Networks;Top-k Risk Prediction
Decision: Poster
Title: Semi-Implicit Denoising Diffusion Models (SIDDMs)
Authors: yanwu xu, Mingming Gong, Shaoan Xie, Wei Wei, Matthias Grundmann, Kayhan Batmanghelich, Tingbo Hou
Affiliations: 1Electrical and Computer Engineering, Boston University; 3School of Mathematics and Statistics, The University of Melbourne; 2Electrical and Computer Engineering, Boston University; 4Carnegie Mellon University
Conference: nips 2023 (main track)
Keywords: Diffusion Model;GAN;Semi-implicit Modeling
Decision: Poster
Title: Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions
Authors: Abhineet Agarwal, Anish Agarwal, Suhas Vijaykumar
Affiliations: Department of Statistics, University of California, Berkeley; Amazon, Core AI; Department of IEOR, Columbia University
Conference: nips 2023 (main track)
Keywords: Causal Inference;Matrix Completion;Combinatorial Learning;Ranking
Decision: Poster
Title: Towards Optimal Caching and Model Selection for Large Model Inference
Authors: Banghua Zhu, Ying Sheng, Lianmin Zheng, Clark Barrett, Michael Jordan, Jiantao Jiao
Affiliations: Department of EECS, UC Berkeley; Computer Science Department, Stanford University
Conference: nips 2023 (main track)
Keywords: caching;model selection;large language models;foundation models;inference;bandit;regret
Decision: Poster
Title: Finding Safe Zones of Markov Decision Processes Policies
Authors: Lee Cohen, Yishay Mansour, Michal Moshkovitz
Affiliations: TTI-Chicago; Bosch Center for AI; Tel-Aviv University, Google Research
Conference: nips 2023 (main track)
Keywords: Theoretical guarantees;algorithms;learning theory;MDP;computational complexity;Interpretability
Decision: Poster
Title: xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data
Authors: Jing Gong, Minsheng Hao, Xingyi Cheng, Xin Zeng, Chiming Liu, Jianzhu Ma, Xuegong Zhang, Taifeng Wang, Le Song
Affiliations: BioMap Research, Mohamed bin Zayed University of Artificial Intelligence; BioMap Research; Tsinghua University; BioMap Research, Tsinghua University
Conference: nips 2023 (main track)
Keywords: pre-train;encoder-decoder;scRNA-seq;scalable
Decision: Poster
Title: How do Minimum-Norm Shallow Denoisers Look in Function Space?
Authors: Chen Zeno, Greg Ongie, Yaniv Blumenfeld, Nir Weinberger, Daniel Soudry
Affiliations: Department Mathematical and Statistical Sciences, Marquette University; Electrical and Computer Engineering, Technion
Conference: nips 2023 (main track)
Keywords: Denoiser;Denoising;Neural network;Function space
Decision: Poster
Title: Combating Representation Learning Disparity with Geometric Harmonization
Authors: Zhihan Zhou, Jiangchao Yao, Feng Hong, Ya Zhang, Bo Han, Yanfeng Wang
Affiliations: Hong Kong Baptist University; Cooperative Medianet Innovation Center, Shanghai Jiao Tong University; Shanghai AI Laboratory; Cooperative Medianet Innovation Center, Shanghai Jiao Tong University
Conference: nips 2023 (main track)
Keywords: Long-tailed learning;self-supervised learning
Decision: Spotlight
Title: Learning From Biased Soft Labels
Authors: Hua Yuan, Yu Shi, Ning Xu, Xu Yang, Xin Geng, Yong Rui
Affiliations: School of Computer Science and Engineering, Southeast University, Nanjing 210096, China; Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, China; Lenovo Research, Beijing 100085, China
Conference: nips 2023 (main track)
Keywords: Soft label; knowledge distillation; weakly-supervised learning; Machine learning.
Decision: Poster
Title: Reducing Shape-Radiance Ambiguity in Radiance Fields with a Closed-Form Color Estimation Method
Authors: Qihang Fang, Qihang Fang, Yafei Song, Keqiang Li, Liefeng Bo
Affiliations: State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences; School of Artificial Intelligence, University of Chinese Academy of Sciences; Alibaba Group
Conference: nips 2023 (main track)
Keywords: Neural radiance field;Novel-view synthesis;Regularization
Decision: Poster
Title: Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration
Authors: Longlin Yu, Tianyu Xie, Yu Zhu, Tong Yang, Xiangyu Zhang, Cheng Zhang
Affiliations: School of Mathematical Sciences, Peking University and Center for Statistical Science, Peking University; Megvii Technology Inc.; School of Mathematical Sciences, Peking University; Institute of Automation, Chinese Academy of Sciences
Conference: nips 2023 (main track)
Keywords: Hierarchical semi-implicit variational inference;Score based training;Diffusion model
Decision: Poster
Title: Scaling Laws for Hyperparameter Optimization
Authors: Arlind Kadra, Maciej Janowski, Martin Wistuba, Josif Grabocka
Affiliations: Amazon Web Services, Amazon Berlin; Representation Learning Lab, University of Freiburg
Conference: nips 2023 (main track)
Keywords: hyperparameter optimization;multi-fidelity hyperparameter optimization;multi-fidelity hpo;power laws;deep neural networks;deep power laws;deep ensemble;deep learning;large language models;scaling laws;llm
Decision: Poster
Title: SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
Authors: Jiaxiang Dong, Jiaxiang Dong, Haixu Wu, Haoran Zhang, Li Zhang, Jianmin Wang, Mingsheng Long
Affiliations: School of Software, BNRist, Tsinghua University, China
Conference: nips 2023 (main track)
Keywords: Time-series analysis;pre-training;masked time-series modeling
Decision: Spotlight
Title: Creating Multi-Level Skill Hierarchies in Reinforcement Learning
Authors: Joshua B. Evans, Özgür Şimşek
Affiliations: Department of Computer Science, University of Bath, Bath, United Kingdom
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Hierarchical Reinforcement Learning;RL;HRL;Skill Discovery;Skill Hierarchies;Graph-Based;Graphs;Graph Clustering;Graph Partitioning
Decision: Poster
Title: Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL
Authors: Chen Sun, Wannan Yang, Thomas Jiralerspong, Dane Malenfant, Benjamin Alsbury-Nealy, Yoshua Bengio, Blake Richards
Affiliations: New York University; Mila, Université de Montréal; McGill University; Mila, McGill University, Learning in Machines & Brains, CIFAR; University of Toronto, SilicoLabs Incorporated; Mila, Université de Montréal, CIFAR
Conference: nips 2023 (main track)
Keywords: Reinforcement learning;long term credit assignment;rapid credit assignment;contrastive learning;few-shot learning in RL
Decision: Poster
Title: Spectral Evolution and Invariance in Linear-width Neural Networks
Authors: Zhichao Wang, Andrew Engel, Anand D Sarwate, Ioana Dumitriu, Tony Chiang
Affiliations: Pacific Northwest National Laboratory; University of California San Diego; Pacific Northwest National Laboratory, University of Washington, University of Texas at El Paso; Rutgers, The State University of New Jersey
Conference: nips 2023 (main track)
Keywords: Random matrix theory;Heavy tails;Feature learning;Linear-width neural networks;Spike phase transition
Decision: Poster
Title: Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data
Authors: Jang-Hyun Kim, Sangdoo Yun, Hyun Oh Song
Affiliations: Seoul National University; NAVER AI Lab
Conference: nips 2023 (main track)
Keywords: Dataset cleaning;Label error detection;Outlier detection;Neural Networks;Robustness
Decision: Poster
Title: Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision
Authors: Ayush Tewari, Tianwei Yin, George Cazenavette, Semon Rezchikov, Josh Tenenbaum, Fredo Durand, Bill Freeman, Vincent Sitzmann
Affiliations: MIT CSAIL; Princeton IAS; MIT CSAIL/MIT BCS/MIT CBMM
Conference: nips 2023 (main track)
Keywords: 3D generative models;neural rendering;neural scene representations;NeRF;diffusion models;differentiable rendering;inverse graphics;inverse problems
Decision: Spotlight
Title: Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection
Authors: Haibao Yu, Yingjuan Tang, Enze Xie, Jilei Mao, Ping Luo, Zaiqing Nie
Affiliations: The University of Hong Kong; Institute for AI Industry Research (AIR), Tsinghua University
Conference: nips 2023 (main track)
Keywords: vehicle-infrastructure cooperative autonomous driving;3D object detection;feature flow;self-supervised learning
Decision: Poster
Title: Use perturbations when learning from explanations
Authors: Juyeon Heo, Vihari Piratla, Matthew Wicker, Adrian Weller
Affiliations: Alan Turing Institute and University of Cambridge; University of Cambridge; Alan Turing Institute
Conference: nips 2023 (main track)
Keywords: Learning from explanation;Robustness;Interpretability;Shortcuts;Explanations
Decision: Poster
Title: Composable Coresets for Determinant Maximization: Greedy is Almost Optimal
Authors: Siddharth Gollapudi, Sepideh Mahabadi, Varun Sivashankar
Affiliations: Microsoft Research
Conference: nips 2023 (main track)
Keywords: Determinant Maximization;Composable Coresets;Greedy Algorithm;DPP
Decision: Poster
Title: Emergent Communication for Rules Reasoning
Authors: Yuxuan Guo, Yifan Hao, Rui Zhang, Enshuai Zhou, Zidong Du, xishan zhang, Xinkai Song, Yuanbo Wen, Yongwei Zhao, Xuehai Zhou, Jiaming Guo, Qi Yi, Shaohui Peng, Di Huang, Ruizhi Chen, Qi Guo, Yunji Chen
Affiliations: University of Science and Technology of China; Intelligent Software Research Center, Institute of Software, CAS; State Key Lab of Processors, Institute of Computing Technology, CAS
Conference: nips 2023 (main track)
Keywords: Emergent communication;Multi-agent communication;Raven's Progressive Matrices;Representation learning
Decision: Poster
Title: Query-based Temporal Fusion with Explicit Motion for 3D Object Detection
Authors: Jinghua Hou, Zhe Liu, dingkang liang, Zhikang Zou, Xiaoqing Ye, Xiang Bai
Affiliations: Huazhong University of Science & Technology; Baidu Inc.
Conference: nips 2023 (main track)
Keywords: 3D Object Detection;Temporal;LiDAR-only;Multi-modality;Autonomous Driving
Decision: Poster
Title: Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale
Authors: Matthew Le, Apoorv Vyas, Bowen Shi, Brian Karrer, Leda Sari, Rashel Moritz, Mary Williamson, Vimal Manohar, Yossi Adi, Jay Mahadeokar, Wei-Ning Hsu
Affiliations: Fundamental AI Research (FAIR), Meta; FAIR & Hebrew University of Jerusalem
Conference: nips 2023 (main track)
Keywords: speech generation;flow-matching;diffusion;in-context learning;text-to-speech
Decision: Poster
Title: Resilient Constrained Learning
Authors: Ignacio Hounie, Alejandro Ribeiro, Luiz F. O. Chamon
Affiliations: University of Stuttgart; University of Pennsylvania
Conference: nips 2023 (main track)
Keywords: Constrained Learning;Relaxation;Lagrangian duality;Primal-Dual;Machine Learning;Federated Learning;Invariance
Decision: Poster
Title: Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise
Authors: Ta Duy Nguyen, Thien H Nguyen, Alina Ene, Huy Nguyen
Affiliations: Department of Computer Science, Boston University; Khoury College of Computer Sciences, Northeastern University
Conference: nips 2023 (main track)
Keywords: convex optimization;non-convex optimization;high probability convergence;heavy-tailed noise;clipped stochastic gradient descent;clipped stochastic mirror descent
Decision: Spotlight
Title: Faster Differentially Private Convex Optimization via Second-Order Methods
Authors: Arun Ganesh, Mahdi Haghifam, Thomas Steinke, Abhradeep Guha Thakurta
Affiliations: Google DeepMind; University of Toronto, Vector Institute; Google Research
Conference: nips 2023 (main track)
Keywords: differential privacy;logistic regression;optimization;Newton's method;second-order methods
Decision: Poster
Title: Multi-modal Queried Object Detection in the Wild
Authors: Yifan Xu, Mengdan Zhang, Chaoyou Fu, Peixian Chen, Xiaoshan Yang, Ke Li, Changsheng Xu
Affiliations: School of Artificial Intelligence, University of the Chinese Academy of Sciences; MAIS, Institute of Automation, Chinese Academy of Sciences; Tencent Youtu Lab; Peng Cheng Laboratory
Conference: nips 2023 (main track)
Keywords: open-world object detection;multi-modal query;vision-language pre-training
Decision: Poster
Title: Customizable Image Synthesis with Multiple Subjects
Authors: Zhiheng Liu, Yifei Zhang, Yujun Shen, Kecheng Zheng, Kai Zhu, Ruili Feng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao
Conference: nips 2023 (main track)
Keywords: text2img;diffusion model;customization
Decision: Poster
Title: Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge
Authors: Abhin Shah, Karthikeyan Shanmugam, Murat Kocaoglu
Affiliations: Massachusetts Institute of Technology; Purdue University; Google Research
Conference: nips 2023 (main track)
Keywords: Causal Effect Estimation;Front-door Adjustment;Limited Graph Knowledge
Decision: Poster
Title: Large language models implicitly learn to straighten neural sentence trajectories to construct a predictive representation of natural language.
Authors: Eghbal Hosseini, Evelina Fedorenko
Affiliations: Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, 02139
Conference: nips 2023 (main track)
Keywords: (Cognitive/Neuroscience) Language;Structured Prediction;(Application) Natural Language and Text Processing
Decision: Poster
Title: VideoComposer: Compositional Video Synthesis with Motion Controllability
Authors: Xiang Wang, Hangjie Yuan, Shiwei Zhang, Dayou Chen, Jiuniu Wang, Yingya Zhang, Yujun Shen, Deli Zhao, Jingren Zhou
Affiliations: Alibaba Group; Ant Group
Conference: nips 2023 (main track)
Keywords: Video Synthesis;Video Diffusion Model;Compositional Synthesis
Decision: Poster
Title: Towards robust and generalizable representations of extracellular data using contrastive learning
Authors: Ankit Vishnubhotla, Charlotte Loh, Akash Srivastava, Liam Paninski, Cole Hurwitz
Affiliations: MIT-IBM, Massachusetts; Columbia University, New York; MIT, Massachusetts
Conference: nips 2023 (main track)
Keywords: contrastive learning;representations;extracellular;high-density;spike sorting;cell-type classification;transformers;invariance
Decision: Poster
Title: Learning Modulated Transformation in GANs
Authors: Ceyuan Yang, Qihang Zhang, Yinghao Xu, Jiapeng Zhu, Yujun Shen, Bo Dai
Affiliations: Shanghai AI Laboratory; HKUST; Ant Group; CUHK
Conference: nips 2023 (main track)
Keywords: generative adversarial network;image synthesis;video synthesis
Decision: Poster
Title: Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization
Authors: Liang Zhang, Junchi YANG, Amin Karbasi, Niao He
Affiliations: ETH Zurich & Max Planck Institute; Yale University & Google Research; ETH Zurich
Conference: nips 2023 (main track)
Keywords: Reproducibility;Convex Optimization;Minimax Optimization;Saddle-Point Problem
Decision: Spotlight
Title: Knowledge Distillation for High Dimensional Search Index
Authors: Zepu Lu, Jin Chen, Defu Lian, ZAIXI ZHANG, Yong Ge, Enhong Chen
Affiliations: School of Computer Science and Technology, University of Science and Technology of China; State Key Laboratory of Cognitive Intelligence, Hefei, Anhui, China; University of Arizona; University of Electronic Science and Technology of China
Conference: nips 2023 (main track)
Keywords: Approximate Nearest Neighbor Search;Knowledge Distillation;Product Quantization;Inverted Index
Decision: Poster
Title: Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations
Authors: Yiheng Lin, James A. Preiss, Emile Anand, Yingying Li, Yingying Li, Yisong Yue, Adam Wierman
Affiliations: University of Illinois Urbana-Champaign, Urbana, IL, USA; California Institute of Technology, Pasadena, CA, USA
Conference: nips 2023 (main track)
Keywords: Online policy selection;online control;online learning
Decision: Poster
Title: UniTSFace: Unified Threshold Integrated Sample-to-Sample Loss for Face Recognition
Authors: qiufu li, Xi Jia, Jiancan Zhou, Linlin Shen, Jinming Duan
Affiliations: School of Computer Science, University of Birmingham, UK; Alan Turing Institute, UK; National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, China; Computer Vision Institute, Shenzhen University, China; Aqara, Lumi United Technology Co., Ltd, China; National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, China; Computer Vision Institute, Shenzhen University, China; School of Computer Science, University of Birmingham, UK; National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, China; Computer Vision Institute, Shenzhen University, China; SZU Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, China
Conference: nips 2023 (main track)
Keywords: Face Recognition;Unified Threshold;USS Loss
Decision: Poster