hunoutl/paperlists huggingface dataset:
Title: Learning to Follow Instructions in Text-Based Games
Authors: Mathieu Tuli, Andrew Li, Pashootan Vaezipoor, Toryn Klassen, Scott Sanner, Sheila McIlraith
Affiliations: Vector Institute for Artiﬁcial Intelligence, Toronto, Canada; University of Toronto, Toronto, Canada; Schwartz Reisman Institute for Technology and Society, Toronto, Canada
Conference: nips 2022 (main track)
Keywords: reinforcement learning;linear temporal logic;textworld;text-based games;instruction following;natural language;instructions;GATA
Decision: Poster
Title: Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification
Authors: Massimiliano Patacchiola, John Bronskill, Aliaksandra Shysheya, Katja Hofmann, Sebastian Nowozin, Richard Turner
Affiliations: University of Cambridge; Microsoft Research – Cambridge (UK); Microsoft Research
Conference: nips 2022 (main track)
Keywords: few-shot learning;meta-learning;transfer learning
Decision: Poster
Title: Multitasking Models are Robust to Structural Failure: A Neural Model for Bilingual Cognitive Reserve
Authors: Giannis Daras, Negin Raoof, Zoi Gkalitsiou, Alex Dimakis
Affiliations: The University of Texas at Austin
Conference: nips 2022 (main track)
Keywords: multitask learning;robustness;linear representation learning
Decision: Poster
Title: MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control
Authors: Xuehai Pan, Mickel Liu, Fangwei Zhong, Yaodong Yang, Song-Chun Zhu, Yizhou Wang
Affiliations: School of Intelligence Science and Technology, Peking University; Beijing Institute for General Artiﬁcial Intelligence (BIGAI); School of Intelligence Science and Technology, Peking University; Institute for Artiﬁcial Intelligence, Peking University; Department of Automation, Tsinghua University; Beijing Institute for General Artiﬁcial Intelligence (BIGAI); School of Computer Science, Peking University; Center on Frontiers of Computing Studies, Peking University; Beijing Institute for General Artiﬁcial Intelligence (BIGAI); School of Intelligence Science and Technology, Peking University; Institute for Artiﬁcial Intelligence, Peking University; Beijing Institute for General Artiﬁcial Intelligence (BIGAI); School of Computer Science, Peking University; Center on Frontiers of Computing Studies, Peking University; Institute for Artiﬁcial Intelligence, Peking University
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Multi-agent Reinforcement Learning;Multi-Camera System;Asymmetric Game;Multi-agent Cooperative-Competitive Game
Decision: Poster
Title: Early Stage Convergence and Global Convergence of Training Mildly Parameterized Neural Networks
Authors: Mingze Wang, Chao Ma
Affiliations: School of Mathematical Sciences, Peking University, Beijing, 100081, P.R. China; Department of Mathematics, Stanford University, Stanford, CA 94305
Conference: nips 2022 (main track)
Keywords: non-convex optimization;training dynamics;neural network
Decision: Poster
Title: Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective
Authors: Changyou Chen, Jianyi Zhang, Yi Xu, Liqun Chen, Jiali Duan, Yiran Chen, Son Tran, Belinda Zeng, Trishul Chilimbi
Affiliations: Duke University; University at Buffalo; Amazon
Conference: nips 2022 (main track)
Keywords: Bayesian data augmentation;contrastive learning;representation learning
Decision: Poster
Title: ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time
Authors: Tailin Wu, Megan Tjandrasuwita, Zhengxuan Wu, Xuelin Yang, Kevin Liu, Rok Sosic, Jure Leskovec
Affiliations: Department of Computer Science, California Institute of Technology; Department of Computer Science, Stanford University
Conference: nips 2022 (main track)
Keywords: zero-shot concept recognition;zero-shot concept acquisition;neuro-symbolic;inference time
Decision: Poster
Title: Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search
Authors: YAO SHU, Zhongxiang Dai, Zhaoxuan Wu, Bryan Kian Hsiang Low
Affiliations: Dept. of Computer Science, National University of Singapore, Republic of Singapore; Institute of Data Science, National University of Singapore, Republic of Singapore
Conference: nips 2022 (main track)
Keywords: Neural Architecture Search;Training-free;Neural Tangent Kernel;Hybrid;Bayesian Optimization
Decision: Poster
Title: Training language models to follow instructions with human feedback
Authors: Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul Christiano, Jan Leike, Ryan Lowe
Affiliations: Anthropic; Work done while at OpenAI; Alignment Research Center; Work done while at OpenAI; OpenAI
Conference: nips 2022 (main track)
Decision: Poster
Title: Minimax Optimal Algorithms for Fixed-Budget Best Arm Identification
Authors: Junpei Komiyama, Taira Tsuchiya, Junya Honda
Affiliations: New York University, New York, NY, United States; Kyoto University, Kyoto, Japan; RIKEN AIP, Tokyo, Japan
Conference: nips 2022 (main track)
Keywords: Best Arm Identification;Online Learning
Decision: Poster
Title: VaiPhy: a Variational Inference Based Algorithm for Phylogeny
Authors: Hazal Koptagel, Oskar Kviman, Harald Melin, Negar Safinianaini, Jens Lagergren
Affiliations: School of EECS, KTH Royal Institute of Technology, Stockholm, Sweden; Science for Life Laboratory, Solna, Sweden
Conference: nips 2022 (main track)
Keywords: Phylogenetic Inference;Variational Inference;Bayesian Inference;Combinatorial Sequential Monte Carlo
Decision: Highlighted
Title: Whitening Convergence Rate of Coupling-based Normalizing Flows
Authors: Felix Draxler, Christoph Schnörr, Ullrich Köthe
Affiliations: Heidelberg University
Conference: nips 2022 (main track)
Keywords: normalizing flows;generative modeling;RealNVP;theory;maximum likelihood;kullback leibler divergence;invertible neural network;information theory;convergence;coupling block
Decision: Highlighted
Title: Maximum Likelihood Training of Implicit Nonlinear Diffusion Model
Authors: Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-chul Moon
Affiliations: KAIST / Summary.AI; KAIST; NAVER CLOVA
Conference: nips 2022 (main track)
Keywords: Diffusion Model;Score-based Model;Generative Model;Image Generation
Decision: Poster
Title: On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning
Authors: Lorenzo Bonicelli, Matteo Boschini, Angelo Porrello, Concetto Spampinato, SIMONE CALDERARA
Affiliations: AImageLab - University of Modena and Reggio Emilia; PeRCeiVe Lab - University of Catania
Conference: nips 2022 (main track)
Keywords: continual learning;lifelong learning;incremental learning;rehearsal;lipschitz continuity
Decision: Poster
Title: Can Adversarial Training Be Manipulated By Non-Robust Features?
Authors: Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
Affiliations: National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China; MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing, China; Nanyang Technological University, Singapore; JD AI Research, Beijing, China; Chongqing University, Chongqing, China
Conference: nips 2022 (main track)
Keywords: Adversarial Training;Availability Attacks;Hypocritical Perturbations;Stability Attacks
Decision: Poster
Title: Constrained Predictive Coding as a Biologically Plausible Model of the Cortical Hierarchy
Authors: Siavash Golkar, Tiberiu Tesileanu, Yanis Bahroun, Anirvan Sengupta, Dmitri Chklovskii
Affiliations: Center for Computational Neuroscience, Flatiron Institute; Neuroscience Institute, NYU Medical Center; Center for Computational Neuroscience, Flatiron Institute; Center for Computational Mathematics, Flatiron Institute; Center for Computational Quantum Physics, Flatiron Institute; Department of Physics and Astronomy, Rutgers University
Conference: nips 2022 (main track)
Keywords: predictive coding;biologically plausible;calcium plateau;cortical hierarchy;biologically realistic
Decision: Poster
Title: JAWS: Auditing Predictive Uncertainty Under Covariate Shift
Authors: Drew Prinster, Anqi Liu, Suchi Saria
Affiliations: Department of Computer Science, Johns Hopkins University, Baltimore, MD 21211
Conference: nips 2022 (main track)
Keywords: conformal prediction;uncertainty quantification;covariate shift;jackknife+;influence functions;error assessment;auditing
Decision: Poster
Title: A Multi-Task Benchmark for Korean Legal Language Understanding and Judgement Prediction
Authors: Wonseok Hwang, Dongjun Lee, Kyoungyeon Cho, Hanuhl Lee, Minjoon Seo
Affiliations: LBox; KAIST
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Natural Legal Language Understanding;Legal AI;Legal Judgement Prediction;Legal Language Model
Decision: Poster
Title: Transition to Linearity of General Neural Networks with Directed Acyclic Graph Architecture
Authors: Libin Zhu, Chaoyue Liu, Misha Belkin
Affiliations: Department of Computer Science & Halicioğlu Data Science Institute, University of California, San Diego; Halicioğlu Data Science Institute, University of California, San Diego
Conference: nips 2022 (main track)
Keywords: wide neural networks;directed acyclic graph;transition to linearity;neural tangent kernel;over-parameterization
Decision: Poster
Title: Cross-Linked Unified Embedding for cross-modality representation learning
Authors: Xinming Tu, Zhi-Jie Cao, xia chenrui, Sara Mostafavi, Ge Gao
Affiliations: Peking University, Changping Laboratory; University of Washington; Peking University, University of Washington
Conference: nips 2022 (main track)
Keywords: Multimodal Learning;Representation Learning;Semi-supervised Learning;Deep Autoencoders;Computational Biology and Bioinformatics;Single-cell Genomics
Decision: Highlighted
Title: COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics
Authors: Lianhui Qin, Sean Welleck, Daniel Khashabi, Yejin Choi
Affiliations: Allen Institute for Artiﬁcial Intelligence; Paul G. Allen School of Computer Science & Engineering, University of Washington; Department of Computer Science, Johns Hopkins University
Conference: nips 2022 (main track)
Keywords: Text generation;constrained text generation;language models;natural language processing;langevin dynamics;decoding
Decision: Highlighted
Title: When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits
Authors: Achraf Azize, Debabrota Basu
Affiliations: Équipe Scool, Univ. Lille, Inria, CNRS, Centrale Lille, UMR 9189- CRIStAL, F-59000 Lille, France
Conference: nips 2022 (main track)
Keywords: Differential Privacy;Multi-armed Bandits;Regret Analysis;Stochastic Linear Bandits
Decision: Poster
Title: Moment Distributionally Robust Tree Structured Prediction
Authors: Yeshu Li, Danyal Saeed, Xinhua Zhang, Brian Ziebart, Kevin Gimpel
Affiliations: Department of Computer Science, University of Illinois at Chicago; Toyota Technological Institute at Chicago
Conference: nips 2022 (main track)
Keywords: structured prediction;robustness;arborescence;projection;dependency parsing
Decision: Highlighted
Title: SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments
Authors: Mohan Zhang, Xiaozhou Wang, Benjamin Decardi-Nelson, Bo Song, An Zhang, Jinfeng Liu, Sile Tao, Jiayi Cheng, Xiaohong Liu, Dengdeng Yu, Matthew Poon, Animesh Garg
Affiliations: Quartic.ai; University of Alberta; Shanghai Jiao Tong University; University of Toronto; University of Texas at Arlington
Conference: nips 2022 (Datasets & Benchmarks track)
Decision: Poster
Title: Can Push-forward Generative Models Fit Multimodal Distributions?
Authors: Antoine Salmona, Valentin De Bortoli, Julie Delon, Agnes Desolneux
Affiliations: Centre Borelli, ENS Paris Saclay, France; Center for Sciences of Data, CNRS, ENS Ulm, France; Centre Borelli, CNRS, ENS Paris Saclay, France; MAP5, Université Paris Cité, France; Institut Universitaire de France (IUF)
Conference: nips 2022 (main track)
Keywords: Generative Models;GAN;VAE;Diffusion Models;Score-based Models;Expressivity;Lipschitz Mappings
Decision: Poster
Title: Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces
Authors: Vladimir Kostic, Pietro Novelli, Andreas Maurer, Carlo Ciliberto, Lorenzo Rosasco, Massimiliano Pontil
Affiliations: Istituto Italiano di Tecnologia; Istituto Italiano di Tecnologia, University of Novi Sad; University of Genova, Massachusetts Institute of Technology, Istituto Italiano di Tecnologia; University College London; Istituto Italiano di Tecnologia, University College London
Conference: nips 2022 (main track)
Keywords: Koopman operator;Markov transfer operator;DMD;supervised learning;dynamical systems;low rank approximation;spectral decomposition
Decision: Poster
Title: Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds
Authors: Joshua Albrecht, Abraham Fetterman, Bryden Fogelman, Ellie Kitanidis, Bartosz Wróblewski, Nicole Seo, Michael Rosenthal, Maksis Knutins, Zack Polizzi, James Simon, Kanjun Qiu
Affiliations: Generally Intelligent
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: reinforcement learning;benchmark;generalization;simulator;embodied agents;virtual reality
Decision: Highlighted
Title: Wasserstein Logistic Regression with Mixed Features
Authors: Aras Selvi, Mohammad Reza Belbasi, Martin Haugh, Wolfram Wiesemann
Affiliations: Imperial College Business School, Imperial College London, United Kingdom
Conference: nips 2022 (main track)
Keywords: Distributionally Robust Optimization;Wasserstein Distance;Logistic Regression
Decision: Poster
Title: Memory Efficient Continual Learning with Transformers
Authors: Beyza Ermis, Giovanni Zappella, Martin Wistuba, Aditya Rawal, Cedric Archambeau
Affiliations: Amazon Web Services
Conference: nips 2022 (main track)
Keywords: continual learning;transformers;ViT;BERT;text classification;image classification;adapters
Decision: Poster
Title: Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation
Authors: Yao Qin, Chiyuan Zhang, Ting Chen, Balaji Lakshminarayanan, Alex Beutel, Xuezhi Wang
Affiliations: Google Research
Conference: nips 2022 (main track)
Keywords: Robustness;Distributional shift;Vision transformers
Decision: Poster
Title: Unsupervised Multi-View Object Segmentation Using Radiance Field Propagation
Authors: Xinhang Liu, Jiaben Chen, Huai Yu, Yu-Wing Tai, Chi-Keung Tang
Affiliations: UC San Diego; Wuhan University; HKUST
Conference: nips 2022 (main track)
Keywords: Computer Vision;Unsupervised Segmentation;3D Scene Representation;Computational Imaging
Decision: Poster
Title: Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations
Authors: Michael Poli, Winnie Xu, Stefano Massaroli, Chenlin Meng, Kuno Kim, Stefano Ermon
Affiliations: Stanford University; Mila, DiffeqML; University of Toronto; Stanford University, CZ Biohub
Conference: nips 2022 (main track)
Keywords: implicit representations;compression;deep equilibrium models;generative models;fractal;fixed-point
Decision: Poster
Title: Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network
Authors: SIQI LIANG, Yan Sun, Faming Liang
Affiliations: Purdue University, West Lafayette, IN 47907; Purdue University, West Lafayette, IN 47906
Conference: nips 2022 (main track)
Keywords: Adaptive Stochastic Gradient MCMC;Big Data;Deep Learning;Stochastic Neural Network;Sufficient Dimension Reduction
Decision: Poster
Title: Exploring evolution-aware & -free protein language models as protein function predictors
Authors: Mingyang Hu, Fajie Yuan, Kevin Yang, Fusong Ju, Jin Su, Hui Wang, Fei Yang, Qiuyang Ding
Affiliations: Microsoft Research Asia; Westlake University; Zhejiang Lab; Microsoft Research New England
Conference: nips 2022 (main track)
Decision: Poster
Title: M2N: Mesh Movement Networks for PDE Solvers
Authors: Wenbin Song, Mingrui Zhang, Joseph G Wallwork, Junpeng Gao, Zheng Tian, Fanglei Sun, Matthew Piggott, Junqing Chen, Zuoqiang Shi, Xiang Chen, Jun Wang
Affiliations: Noah’s Ark Lab, Huawei; University College London; ShanghaiTech University; Tsinghua University; ETH Zürich; Imperial College London
Conference: nips 2022 (main track)
Keywords: Partial Differential Equation;Mesh Adaptation;Mesh Movement;Moving Mesh;r-Adaptation;Monge–Ampere;Deep Learning;Neural Network;Neural Spline;Graph Attention Network
Decision: Poster
Title: Decentralized Training of Foundation Models in Heterogeneous Environments
Authors: Binhang Yuan, Yongjun He, Jared Davis, Tianyi Zhang, Tri Dao, Beidi Chen, Percy Liang, Christopher Ré, Ce Zhang
Affiliations: Stanford University, USA; Carnegie Mellon University; ETH Zürich, Switzerland
Conference: nips 2022 (main track)
Keywords: Decentralized training;Foundation model.
Decision: Highlighted
Title: Measuring Data Reconstruction Defenses in Collaborative Inference Systems
Authors: Mengda Yang, Ziang Li, Juan Wang, Hongxin Hu, Ao Ren, Xiaoyang Xu, Wenzhe Yi
Affiliations: Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University; College of Computer Science, Chongqing University; Department of Computer Science and Engineering, University at Buffalo, SUNY
Conference: nips 2022 (main track)
Decision: Poster
Title: Weighted Mutual Learning with Diversity-Driven Model Compression
Authors: Miao Zhang, Li Wang, David Campos, Wei Huang, Chenjuan Guo, Bin Yang
Affiliations: UNSW; Shandong First Medical University; Aalborg University; Harbin Institute of Technology (Shenzhen); East China Normal University
Conference: nips 2022 (main track)
Keywords: knowledge distillation;model compressing
Decision: Poster
Title: Invertible Monotone Operators for Normalizing Flows
Authors: Byeongkeun Ahn, Chiyoon Kim, Youngjoon Hong, Hyunwoo Kim
Affiliations: Sungkyunkwan University; Korea University
Conference: nips 2022 (main track)
Keywords: Normalizing flows;invertible neural networks;monotone operators;deep generative models
Decision: Poster
Title: Robust Testing in High-Dimensional Sparse Models
Authors: Anand Jerry George, Clément L Canonne
Affiliations: School of Computer Science, The University of Sydney; School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne (EPFL)
Conference: nips 2022 (main track)
Keywords: Robust hypothesis testing;Sparse mean testing;Sparse linear regression
Decision: Poster
Title: Myriad: a real-world testbed to bridge trajectory optimization and deep learning
Authors: Nikolaus Howe, Simon Dufort-Labbé, Nitarshan Rajkumar, Pierre-Luc Bacon
Affiliations: Mila, Université de Montréal; University of Cambridge; Mila, Université de Montréal, Facebook CIFAR AI, IV ADO
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: testbed;benchmark;real-world problems;reinforcement learning;imitation learning;optimal control;trajectory optimization;neural ordinary differential equations;system identification;end-to-end learning;implicit planning;nonlinear programming
Decision: Poster
Title: Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations
Authors: Andreas Besginow, Markus Lange-Hegermann
Affiliations: Department of Electrical Engineering and Computer Science, OWL University of Applied Sciences and Arts, Lemgo, Germany, Institute industrial IT Lemgo, Germany
Conference: nips 2022 (main track)
Keywords: Gaussian Process;Ordinary Differential Equations;Machine Learning;Probabilistic Model
Decision: Poster
Title: A Consolidated Cross-Validation Algorithm for Support Vector Machines via Data Reduction
Authors: Boxiang Wang, Archer Yang
Affiliations: Department of Statistics and Actuarial Science, University of Iowa, Iowa City, IA 52242, USA; Department of Mathematics and Statistics, McGill University, Montreal, QC H3A 0B9, Canada
Conference: nips 2022 (main track)
Keywords: Cross-validation;Data reduction;Exact leave-one-out lemma;Reproducing kernel Hilbert spaces;Support vector machines
Decision: Poster
Title: GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
Authors: Xingting Yao, Fanrong Li, Zitao Mo, Jian Cheng
Affiliations: Institute of Automation, Chinese Academy of Sciences; School of Future Technology, University of Chinese Academy of Sciences; Institute of Automation, Chinese Academy of Sciences; Institute of Automation, Chinese Academy of Sciences; School of Future Technology, University of Chinese Academy of Sciences; CAS Center for Excellence in Brain Science and Intelligence Technology
Conference: nips 2022 (main track)
Keywords: Spiking Neural Networks;Leaky Integrate-and-Fire;Unified Spiking Neuron;Biological Features
Decision: Poster
Title: A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models
Authors: Yuanxin Liu, Fandong Meng, Zheng Lin, Jiangnan Li, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou
Affiliations: Pattern Recognition Center, WeChat AI, Tencent Inc, China; Institute of Information Engineering, Chinese Academy of Sciences
Conference: nips 2022 (main track)
Keywords: BERT compression;sparse subnetwork;dataset bias;OOD generalization
Decision: Poster
Title: Beyond neural scaling laws: beating power law scaling via data pruning
Authors: Ben Sorscher, Robert Geirhos, Shashank Shekhar, Surya Ganguli, Ari Morcos
Affiliations: University of Tübingen; Department of Applied Physics, Stanford University; Meta AI (FAIR)
Conference: nips 2022 (main track)
Keywords: data pruning;neural scaling;data subsetting;replicate theory
Decision: Highlighted
Title: The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset
Authors: Hugo Laurençon, Lucile Saulnier, Thomas Wang, Christopher Akiki, Albert Villanova del Moral, Teven Le Scao, Leandro Von Werra, Chenghao Mou, Eduardo González Ponferrada, Huu Nguyen, Jörg Frohberg, Mario Šaško, Quentin Lhoest, Angelina McMillan-Major, Gerard Dupont, Stella Biderman, Anna Rogers, Loubna Ben allal, Francesco De Toni, Giada Pistilli, Olivier Nguyen, Somaieh Nikpoor, Maraim Masoud, Pierre Colombo, Javier de la Rosa, Paulo Villegas, Tristan Thrush, Shayne Longpre, Sebastian Nagel, Leon Weber, Manuel Muñoz, Jian Zhu, Daniel Van Strien, Zaid Alyafeai, Khalid Almubarak, Minh Chien Vu, Itziar Gonzalez-Dios, Aitor Soroa, Kyle Lo, Manan Dey, Pedro Ortiz Suarez, Aaron Gokaslan, Shamik Bose, David Adelani, Long Phan, Hieu Tran, Ian Yu, Suhas Pai, Jenny Chim, Violette Lepercq, Suzana Ilic, Margaret Mitchell, Sasha Alexandra Luccioni, Yacine Jernite
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: BigScience;Dataset;Multilingual;Language Modeling
Decision: Highlighted
Title: Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation
Authors: Sérgio Jesus, José Pombal, Duarte Alves, André Cruz, Pedro Saleiro, Rita Ribeiro, João Gama, Pedro Bizarro
Affiliations: DCC Faculdade de Ciências da Universidade do Porto; LIAAD, INESCTEC Universidade do Porto; Feedzai; DCC Faculdade de Ciências da Universidade do Porto; Feedzai; LIAAD, INESCTEC Universidade do Porto
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: tabular data;bias;dynamic environments;fairness;fraud detection
Decision: Poster
Title: Beyond L1: Faster and Better Sparse Models with skglm
Authors: Quentin Bertrand, Quentin Klopfenstein, Pierre-Antoine Bannier, Gauthier Gidel, Mathurin Massias
Affiliations: Independent Researcher; Mila & UdeM, Canada, Canada CIFAR AI Chair; Univ. Lyon, Inria, CNRS, ENS de Lyon, UCB Lyon 1, LIP UMR 5668, F-69342 Lyon, France; Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg; Mila & UdeM, Canada
Conference: nips 2022 (main track)
Keywords: nonsmooth optimization;cooridnate descent;Anderson acceleration
Decision: Poster