hunoutl/paperlists huggingface dataset:
Title: Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system
Authors: Suhas Shrinivasan, Konstantin-Klemens Lurz, Kelli Restivo, George Denfield, Andreas Tolias, Edgar Walker, Fabian Sinz
Affiliations: Institute for Computer Science and Campus Institute for Data Science, University of Göttingen, Göttingen, Germany; Center for Neuroscience and Artiﬁcial Intelligence, Department of Neuroscience, Baylor College of Medicine, Houston, USA; Center for Neuroscience and Artiﬁcial Intelligence, Department of Neuroscience, Baylor College of Medicine, Houston, USA; Department of Physiology and Biophysics, and Computational Neuroscience Center, University of Washington, Seattle, USA; Institute for Computer Science and Campus Institute for Data Science, University of Göttingen, Göttingen, Germany; Department of Psychiatry, Columbia University, New York City, USA
Conference: nips 2023 (main track)
Keywords: Neural Sampling Code;Probabilistic Inference;Bayesian Brain;Macaque V1;Natural Images;Population Recordings;Normalizing Flows;Probabilistic Models;Computational Neuroscience;Theoretical Neuroscience
Decision: Poster
Title: Adaptive Principal Component Regression with Applications to Panel Data
Authors: Anish Agarwal, Keegan Harris, Justin Whitehouse, Steven Wu
Affiliations: Department of IEOR, Columbia University, New York, NY 10027; School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213
Conference: nips 2023 (main track)
Keywords: adaptive data collection;principal component regression;error-in-variables regression;panel data;synthetic controls;synthetic interventions;causal inference
Decision: Poster
Title: Trajectory Alignment: Understanding the Edge of Stability Phenomenon via Bifurcation Theory
Authors: Minhak Song, Chulhee Yun
Affiliations: KAIST AI; KAIST ISysE/Math
Conference: nips 2023 (main track)
Keywords: non-convex optimization;trajectory alignment of GD;edge of stability;progressive sharpening;bifurcation theory
Decision: Poster
Title: FABind: Fast and Accurate Protein-Ligand Binding
Authors: Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan
Affiliations: Microsoft Research AI4Science; Gaoling School of Artificial Intelligence, Renmin University of China; School of Computer Science and Technology, Huazhong University of Science and Technology; School of Information Science and Technology, University of Science and Technology of China
Conference: nips 2023 (main track)
Keywords: protein-ligand docking
Decision: Poster
Title: A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm
Authors: Ilias Diakonikolas, Daniel Kane, Jasper Lee, Ankit Pensia, Ankit Pensia, Thanasis Pittas
Affiliations: University of Wisconsin–Madison; IBM Research; University of California, San Diego
Conference: nips 2023 (main track)
Keywords: robust statistics;covariance estimation;list-decodable learning
Decision: Spotlight
Title: Metis: Understanding and Enhancing In-Network Regular Expressions
Authors: Zhengxin Zhang, Yucheng Huang, Guanglin Duan, Qing Li, Dan Zhao, Yong Jiang, Lianbo Ma, Xi Xiao, Hengyang Xu
Affiliations: Tsinghua Shenzhen International Graduate School; Tsinghua University, Peng Cheng Laboratory; Northeastern University; Peng Cheng Laboratory; Tencent
Conference: nips 2023 (main track)
Keywords: Network Security; Regular Expression; Knowledge Distillation; Machine Learning; Programmable Switch
Decision: Poster
Title: The Shaped Transformer: Attention Models in the Infinite Depth-and-Width Limit
Authors: Lorenzo Noci, Chuning Li, Mufan Li, Bobby He, Thomas Hofmann, Chris Maddison, Dan Roy
Affiliations: University of Oxford; University of Toronto and Vector Institute; ETH Zurich
Conference: nips 2023 (main track)
Keywords: Deep Learning Theory;Covariance SDE;Attention Mechanism;Infinite-Depth-and-Width;Scaling Limit
Decision: Poster
Title: Contextually Affinitive Neighborhood Refinery for Deep Clustering
Authors: Chunlin Yu, Ye Shi, Jingya Wang
Affiliations: ShanghaiTech University and Shanghai Engineering Research Center of Intelligent Vision and Imaging; ShanghaiTech University
Conference: nips 2023 (main track)
Keywords: Deep Clustering;Self-supervised learning;re-ranking
Decision: Poster
Title: Interpretable Graph Networks Formulate Universal Algebra Conjectures
Authors: Francesco Giannini, Stefano Fioravanti, Oguzhan Keskin, Alisia Lupidi, Alisia Lupidi, Lucie Charlotte Magister, Pietro Lió, Pietro Barbiero
Affiliations: Università di Siena, Italy, JKU Linz, Austria; University of Cambridge, UK; CINI, Italy; Università della Svizzera Italiana, CH, University of Cambridge, UK
Conference: nips 2023 (main track)
Keywords: universal algebra;interpretability;graph neural networks;concept-based models
Decision: Poster
Title: Understanding Few-Shot Learning: Measuring Task Relatedness and Adaptation Difficulty via Attributes
Authors: Minyang Hu, Hong Chang, Zong Guo, Bingpeng MA, Shiguang Shan, Xilin Chen
Affiliations: Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences; University of Chinese Academy of Sciences
Conference: nips 2023 (main track)
Keywords: Few-shot Learning;Meta-Learning;Task Relatedness;Task Adaptation Difficulty
Decision: Poster
Title: Private estimation algorithms for stochastic block models and mixture models
Authors: Hongjie Chen, Vincent Cohen-Addad, Tommaso d’Orsi, Alessandro Epasto, Jacob Imola, David Steurer, Stefan Tiegel
Affiliations: Bocconi; ETH Zürich; UC San Diego; Google Research
Conference: nips 2023 (main track)
Keywords: differential privacy;stochastic block model;Gaussian mixture model;sum of squares
Decision: Spotlight
Title: Near-optimal learning with average Hölder smoothness
Authors: Guy Kornowski, Steve Hanneke, Aryeh Kontorovich
Affiliations: Department of Computer Science, Purdue University; Department of Computer Science, Ben-Gurion University of the Negev; Department of Computer Science and Applied Mathematics, Weizmann Institute of Science
Conference: nips 2023 (main track)
Keywords: Hölder smoothness;average smoothness;bracketing numbers;generalization;risk bounds;metric space
Decision: Poster
Title: OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling
Authors: yifan zhang, Qingsong Wen, xue wang, Weiqi Chen, Liang Sun, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
Affiliations: Alibaba Group; School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS); State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation; Alibaba Group; Meta
Conference: nips 2023 (main track)
Keywords: Time series forecasting;concept drift;online learning;online convex programming
Decision: Poster
Title: Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders
Authors: Lai Wei, Muhammad Qasim Elahi, Mahsa Ghasemi, Murat Kocaoglu
Affiliations: Life Sciences Institute, University of Michigan; Electrical and Computer Engineering, Purdue University
Conference: nips 2023 (main track)
Keywords: multi-armed bandits;causal Inference;sequential decision-making
Decision: Poster
Title: Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans
Authors: Kyowoon Lee, Seongun Kim, Jaesik Choi
Affiliations: KAIST; KAIST, INEEJI; UNIST
Conference: nips 2023 (main track)
Keywords: Offline Reinforcement Learning;Trajectory Optimization;Diffusion Models;Sequential Decision Making
Decision: Poster
Title: Unified 3D Segmenter As Prototypical Classifiers
Authors: Zheyun Qin, Zheyun Qin, Cheng Han, Qifan Wang, Xiushan Nie, Yilong Yin, Lu Xiankai
Affiliations: Shandong University; Shandong Jianzhu University; Meta AI; Rochester Institute of Technology
Conference: nips 2023 (main track)
Keywords: Point Cloud Segmentation;Prototypical Classifier;Unified Framework
Decision: Poster
Title: SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process
Authors: Mengyu Wang, Henghui Ding, Jun Hao Liew, Jiajun Liu, Yao Zhao, Yunchao Wei
Affiliations: Nanyang Technological University; Institute of Information Science, Beijing Jiaotong University; Peng Cheng Laboratory; Beijing Key Laboratory of Advanced Information Science and Network; Institute of Information Science, Beijing Jiaotong University; Peng Cheng Laboratory; Beijing Key Laboratory of Advanced Information Science and Network; Work done during an internship at ByteDance; ByteDance
Conference: nips 2023 (main track)
Keywords: Refinement;Segmentation;Discrete Diffusion
Decision: Poster
Title: Nearly Tight Bounds For Differentially Private Multiway Cut
Authors: Mina Dalirrooyfard, Slobodan Mitrovic, Yuriy Nevmyvaka
Affiliations: Department of Computer Science, UC Davis; Machine Learning Research, Morgan Stanley
Conference: nips 2023 (main track)
Keywords: Differential Privacy;clustering;multiway cut;min cut;graph partitioning
Decision: Oral
Title: CAT-Walk: Inductive Hypergraph Learning via Set Walks
Authors: Ali Behrouz, Farnoosh Hashemi, Sadaf Sadeghian, Margo Seltzer
Affiliations: Department of Computer Science, University of British Columbia
Conference: nips 2023 (main track)
Keywords: Hypergraph Learning;Temporal Networks;Higher-order Temporal Motifs;Inductive Representation Learning
Decision: Poster
Title: Learning Large-scale Neural Fields via Context Pruned Meta-Learning
Authors: Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz
Affiliations: Pohang University of Science and Technology; Korea Advanced Institute of Science and Technology; University College London
Conference: nips 2023 (main track)
Keywords: Meta-Learning;Efficient Meta-Learning;Neural Fields;Implicit Neural Representations;Data Pruning
Decision: Poster
Title: RADAR: Robust AI-Text Detection via Adversarial Learning
Authors: Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho
Affiliations: IBM Research, New York, USA; The Chinese University of Hong Kong, Sha Tin, Hong Kong
Conference: nips 2023 (main track)
Keywords: Large Language Models;Text Detection;Adversarial Learning;Paraphrase
Decision: Poster
Title: Causal normalizing flows: from theory to practice
Authors: Adrián Javaloy, Pablo Sanchez-Martin, Isabel Valera
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany; Department of Computer Science of Saarland University, Saarbrücken, Germany; Max Planck Institute for Software Systems, Saarbrücken, Germany
Conference: nips 2023 (main track)
Keywords: causality;causal inference;normalizing flows;identifiability;interventions;counterfactuals
Decision: Oral
Title: Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects
Authors: Chuanruo Ning, Ruihai Wu, Haoran Lu, Kaichun Mo, Hao Dong
Affiliations: School of CS, PKU; NVIDIA; CFCS, School of CS, PKU; School of EECS, PKU; National Key Laboratory for Multimedia Information Processing, School of CS, PKU
Conference: nips 2023 (main track)
Keywords: articulated object manipulation;few-shot learning;visual affordance for robotics
Decision: Poster
Title: Adversarial Self-Training Improves Robustness and Generalization for Gradual Domain Adaptation
Authors: Lianghe Shi, Weiwei Liu
Affiliations: School of Computer Science, Wuhan University; National Engineering Research Center for Multimedia Software, Wuhan University; Institute of Artificial Intelligence, Wuhan University; Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan University
Conference: nips 2023 (main track)
Keywords: learning theory
Decision: Poster
Title: CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning
Authors: Charles Guille-Escuret, Pau Rodriguez, David Vazquez, Ioannis Mitliagkas, Joao Monteiro
Affiliations: Mila, Université de Montréal, Canada CIFAR AI chair; ServiceNow Research; ServiceNow Research, Mila, Université de Montréal
Conference: nips 2023 (main track)
Keywords: Contrastive learning;OOD detection;adversarial detection;MMD;ImageNet-O;Anomaly detection;CIFAR-10.1
Decision: Poster
Title: Networks are Slacking Off: Understanding Generalization Problem in Image Deraining
Authors: Jinjin Gu, Xianzheng Ma, Xiangtao Kong, Yu Qiao, Chao Dong
Affiliations: Shanghai AI Laboratory, The University of Sydney; Shanghai AI Laboratory; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
Conference: nips 2023 (main track)
Keywords: Image Deraining;Generalization;Interpretation
Decision: Poster
Title: FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models
Authors: Hao ZHANG, Tianyuan DAI, Yanbo Xu, Yu-Wing Tai, Chi-Keung Tang
Affiliations: Stanford University, HKUST; Dartmouth College; CMU, HKUST; HKUST
Conference: nips 2023 (main track)
Keywords: NeRF Editing;NeRF Relighting;Face;Diffusion model;3d synthesis;GAN inversion
Decision: Poster
Title: CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object Detection
Authors: Yang Cao, Zeng Yihan, Hang Xu, Dan Xu
Affiliations: Hong Kong University of Science and Technology; Huawei Noah’s Ark Lab
Conference: nips 2023 (main track)
Keywords: 3D vision;open-vocabulary perception;multi-modal learning;point cloud;3D object detection
Decision: Poster
Title: DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology
Authors: Marco Aversa, Gabriel Nobis, Miriam Hägele, Kai Standvoss, Mihaela Chirica, Roderick Murray-Smith, Ahmed Alaa, Lukas Ruff, Daniela Ivanova, Wojciech Samek, Frederick Klauschen, Bruno Sanguinetti, Luis Oala
Affiliations: Fraunhofer HHI and TU Berlin, Berlin, Germany; Fraunhofer HHI, Berlin, Germany; University of Glasgow, Glasgow, United Kingdom; Aignostics, Berlin, Germany; University of Glasgow and Dotphoton, Glasgow, United Kingdom; Institute of Pathology, LMU Munich, Munich, Germany; Dotphoton, Zug, Switzerland; UC Berkeley, Berkeley, California
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: diffusion models;generative models;histopathology;medical imaging
Decision: Spotlight
Title: Ethical Considerations for Responsible Data Curation
Authors: Jerone Andrews, Dora Zhao, William Thong, Apostolos Modas, Orestis Papakyriakopoulos, Alice Xiang
Affiliations: Sony AI, New York; Sony AI, Seattle; Sony AI, Zurich; Sony AI, Tokyo
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: human-centric;datasets;computer vision;fairness;algorithmic bias;robustness;responsible AI
Decision: Oral
Title: Neural-Logic Human-Object Interaction Detection
Authors: Liulei Li, Jianan Wei, Wenguan Wang, Yi Yang
Affiliations: ReLER, AAII, University of Technology Sydney; CCAI, Zhejiang University
Conference: nips 2023 (main track)
Keywords: Human-Object Interaction;Neuro-Symbolic Computing;Compositional Generalization
Decision: Poster
Title: ProPILE: Probing Privacy Leakage in Large Language Models
Authors: Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh
Affiliations: Department of Electrical and Computer Engineering, Seoul National University; Interdisciplinary Program in Artificial Intelligence, Seoul National University; NAVER AI Lab; Department of Electrical and Computer Engineering, Seoul National University; Parameter Lab; Tübingen AI Center, University of Tübingen; University of Luxembourg
Conference: nips 2023 (main track)
Keywords: Personal identifiable information;Private data leakage;Large language model
Decision: Spotlight
Title: Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping
Authors: Chunming He, Kai Li, Yachao Zhang, Guoxia Xu, Longxiang Tang, Yulun Zhang, Zhenhua Guo, Xiu Li
Affiliations: Shenzhen International Graduate School, Tsinghua University; NEC Laboratories America; ETH Zürich; Tianyi Traffic Technology; Nanjing University of Posts and Telecommunications
Conference: nips 2023 (main track)
Keywords: Concealed Object Segmentation;Weakly-Supervised Learning;Segment Anything Model
Decision: Poster
Title: Goal-conditioned Offline Planning from Curious Exploration
Authors: Marco Bagatella, Georg Martius
Affiliations: University of Tübingen & Max Planck Institute for Intelligent Systems, Tübingen, Germany; ETH Zürich & Max Planck Institute for Intelligent Systems, Tübingen, Germany
Conference: nips 2023 (main track)
Keywords: deep reinforcement learning;unsupervised reinforcement learning;goal-conditioned reinforcement learning;model-based planning
Decision: Poster
Title: Convergence of Actor-Critic with Multi-Layer Neural Networks
Authors: Haoxing Tian, Alex Olshevsky, Yannis Paschalidis
Affiliations: Department of Electrical and Computer Engineering, Boston University, Boston, MA 02215, USA
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Actor-Critic;gradient splitting;neural network
Decision: Poster
Title: Bifurcations and loss jumps in RNN training
Authors: Lukas Eisenmann, Zahra Monfared, Niclas Göring, Daniel Durstewitz
Affiliations: Department of Theoretical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Faculty of Physics and Astronomy, Heidelberg University, Heidelberg, Germany; Interdisciplinary Center for Scientific Computing, Heidelberg University; Department of Theoretical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Faculty of Physics and Astronomy, Heidelberg University, Heidelberg, Germany
Conference: nips 2023 (main track)
Keywords: dynamical systems;bifurcations;Recurrent Neural Networks;attractors;training algorithm;BPTT;exploding and vanishing gradient problem;nonlinear dynamics;time series
Decision: Spotlight
Title: Advice Querying under Budget Constraint for Online Algorithms
Authors: Ziyad Benomar, Vianney Perchet
Affiliations: CREST, ENSAE and Criteo AI LAB; CREST, ENSAE, Ecole polytechique
Conference: nips 2023 (main track)
Keywords: online algorithms;competitive ratio;learning augmented algorithms;scheduling;ski-rental;secretary
Decision: Poster
Title: Towards a Unified Framework of Contrastive Learning for Disentangled Representations
Authors: Stefan Matthes, Zhiwei Han, Hao Shen
Affiliations: fortiss GmbH, Munich, Germany
Conference: nips 2023 (main track)
Keywords: Disentanglement;Contrastive Learning;Identifiability;Representation Learning;Nonlinear ICA
Decision: Poster
Title: Streaming Factor Trajectory Learning for Temporal Tensor Decomposition
Authors: Shikai Fang, Xin Yu, Shibo Li, Zheng Wang, Mike Kirby, Shandian Zhe
Affiliations: Kahlert School of Computing, The University of Utah
Conference: nips 2023 (main track)
Keywords: Tensor Decomposition;streaming method;Bayesian model
Decision: Poster
Title: PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers
Authors: Phillip Lippe, Bas Veeling, Paris Perdikaris, Richard Turner, Johannes Brandstetter
Affiliations: Microsoft Research AI4Science∗; Microsoft Research AI4Science
Conference: nips 2023 (main track)
Keywords: Neural PDE Solvers;Neural Operators;Temporal Stability;Long-Horizon Modeling;Autoregressive Forecasting
Decision: Spotlight
Title: Is Distance Matrix Enough for Geometric Deep Learning?
Authors: Zian Li, Xiyuan Wang, Yinan Huang, Muhan Zhang
Affiliations: Institute for Artificial Intelligence, Peking University; School of Intelligence Science and Technology, Peking University; Institute for Artificial Intelligence, Peking University
Conference: nips 2023 (main track)
Keywords: geometric deep learning;expressiveness;equivariant neural networks;universality
Decision: Poster
Title: Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends
Authors: Wang Xinrui, Wenhai Wan, Chuanxing Geng, Shao-Yuan Li, Songcan Chen
Affiliations: College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics; MIIT Key Laboratory of Pattern Analysis and Machine Intelligence
Conference: nips 2023 (main track)
Keywords: positive and unlabeled learning;machine learning;deep learning;temporal point process;data imbalance
Decision: Spotlight
Title: Equal Opportunity of Coverage in Fair Regression
Authors: Fangxin Wang, Lu Cheng, Ruocheng Guo, Kay Liu, Philip S Yu
Affiliations: ByteDance Research, London, UK; University of Illinois Chicago, Chicago, USA
Conference: nips 2023 (main track)
Keywords: Equal Opportunity; Fair Machine Learning; Conformal Prediction; Uncertainty Quantification
Decision: Poster
Title: Two Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy Continuation
Authors: Shutong Ding, Tianyu Cui, Jingya Wang, Ye Shi
Affiliations: ShanghaiTech University
Conference: nips 2023 (main track)
Keywords: Deep Equilibrium Models;Neural Ordinary Differential Equations;Homotopy Continuation
Decision: Poster
Title: SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations
Authors: Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan
Affiliations: Dept. of Computer Science and Engineering & MoE Key Lab of AI, Shanghai Jiao Tong University; Courant Institute, New York University; Tencent AI Lab; Dept. of Computer Science, University of Illinois at Chicago
Conference: nips 2023 (main track)
Keywords: graph transformers;graph neural networks;graph representation learning;large graphs;efficiency;scalability
Decision: Poster
Title: Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation
Authors: Sébastien Lachapelle, Divyat Mahajan, Ioannis Mitliagkas, Simon Lacoste-Julien
Affiliations: Mila & DIRO, Universit ´e de Montr ´eal; Samsung - SAIT AI Lab, Montreal
Conference: nips 2023 (main track)
Keywords: identifiability;nonlinear ICA;causal representation learning;disentanglement;object-centric representation learning;extrapolation
Decision: Oral
Title: The Utility of “Even if” Semifactual Explanation to Optimise Positive Outcomes
Authors: Eoin Kenny, Weipeng Huang
Affiliations: Tencent Security Big Data Lab, Shenzhen, Guangdong Province, China; Massachusetts Institute of Technology, Cambridge, MA, U.S.A.
Conference: nips 2023 (main track)
Keywords: Semifactual Explanation;Counterfactual Explanation;Explainable AI;Recourse;User Study
Decision: Poster
Title: Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem
Authors: Jincheng Cao, Ruichen Jiang, Nazanin Abolfazli, Erfan Yazdandoost Hamedani, Aryan Mokhtari
Affiliations: ECE Department, UT Austin; SIE Department, The University of Arizona
Conference: nips 2023 (main track)
Keywords: Bilevel optimization;stochastic optimization
Decision: Poster
Title: PROTES: Probabilistic Optimization with Tensor Sampling
Authors: Anastasiia Batsheva, Andrei Chertkov, Gleb Ryzhakov, Ivan Oseledets
Affiliations: Skolkovo Institute of Science and Technology, Moscow, Russia; Skolkovo Institute of Science and Technology and AIRI, Moscow, Russia
Conference: nips 2023 (main track)
Keywords: Tensor Train;Black Box Optimization;Sampling;Optimal Control
Decision: Poster
Title: Segment Anything in High Quality
Authors: Lei Ke, Mingqiao Ye, Martin Danelljan, Yifan liu, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu
Affiliations: ETH Zürich; Dartmouth College; HKUST
Conference: nips 2023 (main track)
Keywords: segment anything;zero-shot segmentation;high-quality segmentation
Decision: Poster
Title: Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions
Authors: Tongxin Li, Yiheng Lin, Shaolei Ren, Adam Wierman
Affiliations: Electrical & Computer Engineering, UC Riverside, USA; School of Data Science, CUHK-SZ, China; Computing + Mathematical Sciences, Caltech, USA
Conference: nips 2023 (main track)
Keywords: Time-varying MDP;Learning-augmented online algorithm;consistency and robustness tradeoff
Decision: Poster