hunoutl/paperlists huggingface dataset:
Title: MMD-Fuse: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting
Authors: Felix Biggs, Antonin Schrab, Arthur Gretton
Affiliations: Centre for Artificial Intelligence, Gatsby Computational Neuroscience Unit, University College London & Inria London; Gatsby Computational Neuroscience Unit, University College London; Centre for Artificial Intelligence, Department of Computer Science, University College London & Inria London
Conference: nips 2023 (main track)
Keywords: Testing;MMD;Kernel Methods;Two-sample testing
Decision: Spotlight
Title: Latent exploration for Reinforcement Learning
Authors: Alberto Silvio Chiappa, Alessandro Marin Vargas, Ann Huang, Alexander Mathis
Affiliations: EPFL; École Polytechnique Fédérale de Lausanne (EPFL); Mila, EPFL
Conference: nips 2023 (main track)
Keywords: Reinforcement learning;efficient exploration;curse of dimensionality;motor control;musculoskeletal control
Decision: Poster
Title: Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks
Authors: Jules Berman, Benjamin Peherstorfer
Affiliations: Courant Institute for Mathematical Sciences, New York University, New York, NY 10012
Conference: nips 2023 (main track)
Keywords: numerical methods;deep networks;evolution equations;scientific computing;partial differential equations;model reduction
Decision: Spotlight
Title: MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers
Authors: LILI YU, Daniel Simig, Colin Flaherty, Armen Aghajanyan, Luke Zettlemoyer, Mike Lewis
Affiliations: Meta AI
Conference: nips 2023 (main track)
Keywords: byte level language model;model architecture;efficient pretraining
Decision: Poster
Title: Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability
Authors: Haotian Xue, Alexandre Araujo, Bin Hu, Yongxin Chen
Affiliations: New York University; University of Illinois Urbana-Champaign; Georgia Institute of Technology
Conference: nips 2023 (main track)
Keywords: Robustness;Adversarial Samples;Diffusion Model
Decision: Poster
Title: ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation
Authors: Jiazheng Xu, Xiao Liu, Yuchen Wu, Yuxuan Tong, Qinkai Li, Ming Ding, Jie Tang, Yuxiao Dong
Affiliations: Beijing U. of Posts and Telecommunications; Zhipu AI; Tsinghua University
Conference: nips 2023 (main track)
Keywords: Generative Models;Text-to-Image;Learning from Human Feedback;Multimodality;Evaluation
Decision: Poster
Title: Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition
Authors: Suyoung Lee, Myungsik Cho, Youngchul Sung
Affiliations: School of Electrical Engineering, KAIST, Daejeon 34141, Republic of Korea
Conference: nips 2023 (main track)
Keywords: Deep reinforcement learning;Meta-reinforcement learning;Subtask decomposition
Decision: Poster
Title: Switching Temporary Teachers for Semi-Supervised Semantic Segmentation
Authors: Jaemin Na, Jung-Woo Ha, Hyung Jin Chang, Dongyoon Han, Wonjun Hwang
Affiliations: University of Birmingham, UK; NAVER AI Lab; Ajou University, Korea
Conference: nips 2023 (main track)
Keywords: Semi-supervised Learning;Semantic Segmentation
Decision: Poster
Title: Joint Attribute and Model Generalization Learning for Privacy-Preserving Action Recognition
Authors: Duo Peng, Li Xu, Qiuhong Ke, Ping Hu, Ping Hu, Jun Liu
Affiliations: Monash University, Australia; SUTD, Singapore; UESTC, China
Conference: nips 2023 (main track)
Keywords: Privacy Preservation;Action Recognition;Meta-Learning
Decision: Poster
Title: Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time
Authors: Zichang Liu, Aditya Desai, Fangshuo Liao, Weitao Wang, Victor Xie, Zhaozhuo Xu, Anastasios Kyrillidis, Anshumali Shrivastava
Affiliations: Department of Computer Science, Stevens Institute of Technology; Department of Computer Science, Rice University & ThirdAI Corp.; Department of Computer Science, Rice University
Conference: nips 2023 (main track)
Keywords: Large language model; KV Cache Compression
Decision: Poster
Title: Neural Functional Transformers
Authors: Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn
Affiliations: Stanford University; Carnegie Mellon University
Conference: nips 2023 (main track)
Keywords: equivariance;permutation;implicit neural representation;generalization;transformers;attention
Decision: Poster
Title: Module-wise Adaptive Distillation for Multimodality Foundation Models
Authors: Chen Liang, Jiahui Yu, Ming-Hsuan Yang, Matthew Brown, Yin Cui, Tuo Zhao, Boqing Gong, Tianyi Zhou
Affiliations: Georgia Tech; University of Maryland, College Park; NVIDIA Research; Google Research; UC Merced, Google Research
Conference: nips 2023 (main track)
Keywords: Multimodality foundation models;knowledge distillation
Decision: Poster
Title: Towards Symmetry-Aware Generation of Periodic Materials
Authors: Youzhi Luo, Chengkai Liu, Shuiwang Ji
Affiliations: Department of Computer Science & Engineering, Texas A&M University, College Station, TX 77843
Conference: nips 2023 (main track)
Keywords: material generation;symmetries;variational auto-encoder;score-based diffusion model
Decision: Spotlight
Title: ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers
Authors: Kexun Zhang, Kexun Zhang, Danqing Wang, Jingtao Xia, William Yang Wang, Lei Li
Affiliations: University of California Santa Barbara; Carnegie Mellon University
Conference: nips 2023 (main track)
Keywords: Large Language Models;Code Generation;Code Intelligence;Automatic Verification
Decision: Poster
Title: Attentive Transfer Entropy to Exploit Transient Emergence of Coupling Effect
Authors: Xiaolei Ru, XINYA ZHANG, Zijia Liu, Jack Murdoch Moore, Gang Yan
Affiliations: School of Physical Science and Engineering, National Key Laboratory of Autonomous Intelligent Unmanned Systems, MOE Frontiers Science Center for Intelligent Autonomous Systems, Tongji University, Shanghai, China
Conference: nips 2023 (main track)
Keywords: Directed coupled network reconstruction; Neuronal dynamics; Mutual information estimator; Attention mechanism; Transfer entropy.
Decision: Spotlight
Title: LithoBench: Benchmarking AI Computational Lithography for Semiconductor Manufacturing
Authors: Su Zheng, Haoyu Yang, Binwu Zhu, Bei Yu, Martin Wong
Affiliations: Hong Kong Baptist University; nVIDIA, Austin, USA; The Chinese University of Hong Kong
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Computational Lithography;Inverse Lithography Technology;Semiconductor Manufacturing;Deep Learning
Decision: Poster
Title: SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality
Authors: Cheng-Yu Hsieh, Jieyu Zhang, Zixian Ma, Aniruddha Kembhavi, Ranjay Krishna
Affiliations: University of Washington; University of Washington, Allen Institute for Artificial Intelligence; Allen Institute for Artificial Intelligence
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: vision-language models;contrastive training;CLIP;compositional understanding;compositionality;dataset artifacts
Decision: Poster
Title: T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
Authors: Yang Li, Jinpei Guo, Runzhong Wang, Junchi Yan
Affiliations: Dept. of Computer Science and Engineering & MoE Key Lab of AI, Shanghai Jiao Tong University
Conference: nips 2023 (main track)
Keywords: Machine Learning;Combinatorial Optimization;Generative Modeling;Diffusion Model
Decision: Poster
Title: Penalising the biases in norm regularisation enforces sparsity
Authors: Etienne Boursier, Nicolas Flammarion
Affiliations: TML Lab, EPFL, Switzerland; INRIA CELESTE, LMO, Orsay, France
Conference: nips 2023 (main track)
Keywords: Neural networks;Min norm interpolators;Sparsity;Representational cost
Decision: Poster
Title: Train Hard, Fight Easy: Robust Meta Reinforcement Learning
Authors: Ido Greenberg, Shie Mannor, Gal Chechik, Eli Meirom
Affiliations: Technion, Nvidia Research; Bar Ilan University, Nvidia Research; Nvidia Research
Conference: nips 2023 (main track)
Keywords: meta reinforcement learning;robust reinforcement learning;safe reinforcement learning;risk sensitive reinforcement learning
Decision: Poster
Title: DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech Translation
Authors: Qingkai Fang, Yan Zhou, Yang Feng
Affiliations: Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences (ICT/CAS) and University of Chinese Academy of Sciences, Beijing, China
Conference: nips 2023 (main track)
Keywords: speech-to-speech translation;non-autoregressive translation;speech translation;directed acyclic transformer
Decision: Poster
Title: CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation
Authors: Chaoqi Chen, Luyao Tang, Yue Huang, Xiaoguang Han, Yizhou Yu
Affiliations: The University of Hong Kong; The Chinese University of Hong Kong (Shenzhen); Xiamen University
Conference: nips 2023 (main track)
Keywords: Domain generalization;domain shift;open class;source compaction;target disambiguation
Decision: Spotlight
Title: Provably (More) Sample-Efficient Offline RL with Options
Authors: Xiaoyan Hu, Ho-fung Leung
Affiliations: Independent Researcher, Hong Kong SAR, China; Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China
Conference: nips 2023 (main track)
Keywords: Learning with Options;Offline RL;Provably Efficient RL
Decision: Poster
Title: Block Low-Rank Preconditioner with Shared Basis for Stochastic Optimization
Authors: Jui-Nan Yen, Sai Surya Duvvuri, Inderjit Dhillon, Cho-Jui Hsieh
Affiliations: Google and UCLA; UT Austin; Google and UT Austin; UCLA
Conference: nips 2023 (main track)
Keywords: Second Order Optimization;Optimization for deep networks
Decision: Poster
Title: Expressive dynamics models with nonlinear injective readouts enable reliable recovery of latent features from neural activity
Affiliations: Affiliation
Conference: nips 2023 (main track)
Keywords: computational neuroscience;systems neuroscience;neural population dynamics;interpretability;neuroscience;latent dynamics;neural manifolds;neural ODEs;RNNs;sequential autoencoders;invertible neural networks
Decision: Reject
Title: Learning Mask-aware CLIP Representations for Zero-Shot Segmentation
Authors: Siyu Jiao, Yunchao Wei, Yaowei Wang, Yao Zhao, Humphrey Shi
Affiliations: Beijing Key Laboratory of Advanced Information Science and Network; Peng Cheng Laboratory; Institute of Information Science, Beijing Jiaotong University; Georgia Institute of Technology, Picsart AI Research
Conference: nips 2023 (main track)
Keywords: Zero-Shot Segmentation;Open-Vocabulary Segmentation;Fine-tuning
Decision: Poster
Title: Controlling Text-to-Image Diffusion by Orthogonal Finetuning
Authors: Zeju Qiu, Weiyang Liu, Haiwen Feng, Yuxuan Xue, Yao Feng, Zhen Liu, Dan Zhang, Adrian Weller, Bernhard Schölkopf
Affiliations: The Alan Turing Institute; Mila, Université de Montréal; University of Tübingen; MPI for Intelligent Systems - Tübingen; Bosch Center for Artificial Intelligence; University of Cambridge
Conference: nips 2023 (main track)
Keywords: Text-to-image;diffusion models;finetuning;generative models;orthogonality
Decision: Poster
Title: MAG-GNN: Reinforcement Learning Boosted Graph Neural Network
Authors: Lecheng Kong, Jiarui Feng, Hao Liu, Dacheng Tao, Yixin Chen, Muhan Zhang
Affiliations: Peking University; Washington University in St. Louis; JD Explore Academy
Conference: nips 2023 (main track)
Keywords: Graph Neural Network; Reinforcement Learning
Decision: Poster
Title: Invariant Learning via Probability of Sufficient and Necessary Causes
Authors: Mengyue Yang, Zhen Fang, Yonggang Zhang, Yali Du, Furui Liu, Jean-Francois Ton, Jianhong Wang, Jun Wang
Affiliations: ByteDance Research; University of Manchester; Hong Kong Baptist University; University of Technology Sydney; University College London; Zhejiang Lab; King’s College London
Conference: nips 2023 (main track)
Keywords: OOD Generalization;Invariant Representation Learning
Decision: Spotlight
Title: Neural Modulation for Flash Memory: An Unsupervised Learning Framework for Improved Reliability
Authors: Jonathan Zedaka, Elisha Halperin, Evgeny Blaichman, Amit Berman
Affiliations: Samsung Semiconductor Israel Research and Development Center
Conference: nips 2023 (main track)
Keywords: WGAN;GAN;Autoencoder;Unsupervised Learning;Generative models;Flash Memory;NAND;Modulation;Reliability;Flash;Communication system
Decision: Poster
Title: A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation
Authors: Junfeng Zuo, Xiao Liu, Ying Nian Wu, Si Wu, Wenhao Zhang
Affiliations: Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, School of Psychological and Cognitive Sciences, Beijing Key Laboratory of Behavior and Mental Health, IDG/McGovern Institute for Brain Research, Center of Quantitative Biology, Peking University.; Department of Statistics, University of California, Los Angeles.; Lyda Hill Department of Bioinformatics, UT Southwestern Medical Center, O’Donnell Brain Institute, UT Southwestern Medical Center.
Conference: nips 2023 (main track)
Keywords: temporal-scaling group;equivariant representation;disentangled representation;motor timing;continuous attractor networks
Decision: Poster
Title: Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling
Authors: Haotao Wang, Ziyu Jiang, Yuning You, Yan Han, Gaowen Liu, Jayanth Srinivasa, Ramana Kompella, Zhangyang "Atlas" Wang
Affiliations: University of Texas at Austin Texas A&M University; Cisco Systems
Conference: nips 2023 (main track)
Keywords: graph neural networks
Decision: Poster
Title: DropCompute: simple and more robust distributed synchronous training via compute variance reduction
Authors: Niv Giladi, Shahar Gottlieb, moran shkolnik, Asaf Karnieli, Ron Banner, Elad Hoffer, Kfir Y. Levy, Daniel Soudry
Affiliations: Technion - Israel Institute of Technology; Habana-Labs
Conference: nips 2023 (main track)
Keywords: distributed optimization;large-scale parallel SGD;synchronous training
Decision: Poster
Title: PromptIR: Prompting for All-in-One Image Restoration
Authors: Vaishnav Potlapalli, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan
Affiliations: Mohamed bin Zayed University of AI; Linköping University; Core42
Conference: nips 2023 (main track)
Keywords: Image Restoration
Decision: Poster
Title: LIMA: Less Is More for Alignment
Authors: Chunting Zhou, Pengfei Liu, Puxin Xu, Srinivasan Iyer, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, LILI YU, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, Omer Levy
Affiliations: Meta AI; Tel Aviv University; Carnegie Mellon University; University of Southern California
Conference: nips 2023 (main track)
Keywords: large language models;supervised instruction fine-tuning;chat assistant
Decision: Poster
Title: The probability flow ODE is provably fast
Authors: Sitan Chen, Sinho Chewi, Holden Lee, Yuanzhi Li, Jianfeng Lu, Adil Salim
Affiliations: Johns Hopkins University; Institute for Advanced Study; Harvard University; Duke University; Microsoft Research
Conference: nips 2023 (main track)
Keywords: DDIM;deterministic samplers;diffusion models;predictor-corrector;probability flow ODE;score-based generative modeling
Decision: Poster
Title: On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis
Authors: Ta Duy 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: high probability;generalization;convex optimization;nonconvex optimization
Decision: Poster
Title: Multi-Step Generalized Policy Improvement by Leveraging Approximate Models
Authors: Lucas N. Alegre, Ana Bazzan, Ann Nowe, Bruno C. da Silva
Affiliations: Artificial Intelligence Lab, Vrije Universiteit Brussel; Institute of Informatics, Federal University of Rio Grande do Sul; University of Massachusetts
Conference: nips 2023 (main track)
Keywords: generalized policy improvement;successor features;transfer learning;model-based reinforcement learning
Decision: Poster
Title: MeCo: Zero-Shot NAS with One Data and Single Forward Pass via Minimum Eigenvalue of Correlation
Authors: Tangyu Jiang, Haodi Wang, Rongfang Bie
Affiliations: School of Artificial Intelligence, Beijing Normal University
Conference: nips 2023 (main track)
Keywords: Neural Architecture Search;Zero-Cost Proxy;Evaluation Strategy;Feature Map
Decision: Spotlight
Title: SEGA: Instructing Text-to-Image Models using Semantic Guidance
Authors: Manuel Brack, Felix Friedrich, Dominik Hintersdorf, Lukas Struppek, Patrick Schramowski, Kristian Kersting
Affiliations: Computer Science Department, TU Darmstadt; German Research Center for Artificial Intelligence (DFKI), Computer Science Department, TU Darmstadt, Hessian.AI, LAION; German Research Center for Artificial Intelligence (DFKI), Computer Science Department, TU Darmstadt, Hessian.AI; Computer Science Department, TU Darmstadt, Hessian.AI; German Research Center for Artificial Intelligence (DFKI), Computer Science Department, TU Darmstadt, Hessian.AI, Centre for Cognitive Science, TU Darmstadt
Conference: nips 2023 (main track)
Keywords: diffusion;text-to-image;generation;semantics
Decision: Poster
Title: SE(3) Equivariant Augmented Coupling Flows
Authors: Laurence Midgley, Vincent Stimper, Javier Antorán, Emile Mathieu, Bernhard Schölkopf, José Miguel Hernández-Lobato
Affiliations: Max Planck Institute for Intelligent Systems; University of Cambridge; Max Planck Institute for Intelligent Systems, University of Cambridge
Conference: nips 2023 (main track)
Keywords: Boltzmann generator;normalizing flow;diffusion;molecular dynamics
Decision: Spotlight
Title: First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities
Authors: Aleksandr Beznosikov, Sergey Samsonov, Marina Sheshukova, Alexander Gasnikov, Alexey Naumov, Eric Moulines
Affiliations: MIPT, Skoltech, IITP RAS; HSE University; Innopolis University, Skoltech, MIPT, Yandex; Ecole polytechnique
Conference: nips 2023 (main track)
Keywords: convex optimization;stochastic optimization;Markovian noise;acceleration;variational inequalities;lower bounds
Decision: Poster
Title: One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning
Authors: Zichang Liu, Zhaozhuo Xu, Benjamin Coleman, Anshumali Shrivastava
Affiliations: Rice University†; Rice University & ThirdAI Corp.; Rice University; Stevens Institute of Technology
Conference: nips 2023 (main track)
Keywords: Distribution sketch;federated learning
Decision: Poster
Title: Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments
Authors: Thanh-Dat Truong, Hoang-Quan Nguyen, Bhiksha Raj, Khoa Luu
Affiliations: CVIU Lab, University of Arkansas, Fayetteville, AR, 72701; Carnegie Mellon University, Pittsburgh, PA, 15213
Conference: nips 2023 (main track)
Keywords: Fairness Continual Learning; Semantic Segmentation; Contrastive Clustering;
Decision: Poster
Title: SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation
Authors: Zhuoyan Luo, Yicheng Xiao, Yong Liu, Shuyan Li, Yitong Wang, Yansong Tang, Xiu Li, Yujiu Yang
Affiliations: Tsinghua Shenzhen International Graduate School, Tsinghua University; ByteDance Inc.; Engineering Department, University of Cambridge
Conference: nips 2023 (main track)
Keywords: Referring Video Object Segmentation;Video-Level Multi-Modal Understanding;Object Cluster;Visual-Linguistic Contrastive Learning
Decision: Poster
Title: PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning
Authors: Florian Bordes, Shashank Shekhar, Mark Ibrahim, Diane Bouchacourt, Pascal Vincent, Ari Morcos
Affiliations: FAIR, Meta; Mila - Quebec AI Institute; Université de Montréal, DIRO; FAIR, Meta
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Synthetic images;Unreal Engine;Representation learning
Decision: Poster
Title: DAW: Exploring the Better Weighting Function for Semi-supervised Semantic Segmentation
Authors: Rui Sun, Huayu Mai, Tianzhu Zhang, Feng Wu
Affiliations: Deep Space Exploration Laboratory/School of Information Science and Technology, University of Science and Technology of China; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center
Conference: nips 2023 (main track)
Keywords: semi-supervised semantic segmentation
Decision: Poster
Title: Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
Authors: Giorgio Giannone, Akash Srivastava, Ole Winther, Faez Ahmed
Affiliations: MIT-IBM Watson AI Lab; Technical University of Denmark, University of Copenhagen; Massachusetts Institute of Technology; Massachusetts Institute of Technology, Technical University of Denmark
Conference: nips 2023 (main track)
Keywords: diffusion models;engineering design;generative optimization;trajectory matching
Decision: Poster
Title: Conformal Prediction for Time Series with Modern Hopfield Networks
Authors: Andreas Auer, Martin Gauch, Daniel Klotz, Sepp Hochreiter
Affiliations: ELLIS Unit Linz and LIT AI Lab, Institute for Machine Learning, Johannes Kepler University Linz, Austria; Google Research, Zürich, Switzerland; ELLIS Unit Linz and LIT AI Lab, Institute for Machine Learning, Johannes Kepler University Linz, Austria
Conference: nips 2023 (main track)
Keywords: time series;uncertainty;prediction interval;conformal prediction;modern hopfield networks
Decision: Poster
Title: On the Constrained Time-Series Generation Problem
Authors: Andrea Coletta, Sriram Gopalakrishnan, Daniel Borrajo, Svitlana Vyetrenko
Affiliations: J.P. Morgan AI Research, Madrid, ESP; J.P. Morgan AI Research, New York, USA; J.P. Morgan AI Research, London, UK
Conference: nips 2023 (main track)
Keywords: time-series;generative models;constrained optimization;machine learning
Decision: Poster
Title: Reinforcement Learning with Fast and Forgetful Memory
Authors: Steven Morad, Ryan Kortvelesy, Stephan Liwicki, Amanda Prorok
Affiliations: University of Cambridge, Cambridge, UK; Toshiba Europe Ltd., Cambridge, UK
Conference: nips 2023 (main track)
Keywords: reinforcement learning;partially observable;POMDP;memory;rnn;transformer
Decision: Poster
Title: Trading-off price for data quality to achieve fair online allocation
Authors: Mathieu Molina, Nicolas Gast, Patrick Loiseau, Vianney Perchet
Affiliations: Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LIG, 38000 Grenoble, France; CREST, ENSAE, Palaiseau, France; Criteo AI Lab, Paris, France; Inria, FairPlay Team, Palaiseau, France
Conference: nips 2023 (main track)
Keywords: Fairness;Online allocation;Bandits algorithms
Decision: Poster
Title: ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction
Authors: Jia Guo, shuai lu, Lize Jia, Weihang Zhang, Huiqi Li
Affiliations: School of Information and Electronics, Beijing Institute of Technology, China; School of Medical Technoloy, Beijing Institute of Technology, China; School of Information and Electronics, Beijing Institute of Technology, China; School of Medical Technoloy, Beijing Institute of Technology, China
Conference: nips 2023 (main track)
Keywords: Unsupervised Anomaly Detection;Contrastive Learning;Medical Anomaly Detection;Transfer Learning
Decision: Poster
Title: MLFMF: Data Sets for Machine Learning for Mathematical Formalization
Authors: Andrej Bauer, Matej Petković, Ljupco Todorovski
Affiliations: Faculty of Mathematics and Physics, University of Ljubljana, Institute for Mathematics, Physics and Mechanics, Ljubljana, Slovenia; Faculty of Mathematics and Physics, University of Ljubljana, Department of Knowledge Technologies, Jožef Stefan Institute, Ljubljana, Slovenia
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: recommendation system;formalized mathematics;proof assistant;Lean;Agda;link prediction;graph learning
Decision: Poster