hunoutl/paperlists huggingface dataset:
Title: Learning from Stochastically Revealed Preference
Authors: John Birge, Xiaocheng Li, Chunlin Sun
Affiliations: Imperial College Business School, Imperial College London; The University of Chicago Booth School of Business; Institute for Computational and Mathematical Engineering, Stanford University
Conference: nips 2022 (main track)
Keywords: Revealed Preference;Bayesian Algorithm;Sample Complexity;Stochastic Models
Decision: Poster
Title: Temporal Effective Batch Normalization in Spiking Neural Networks
Authors: Chaoteng Duan, Jianhao Ding, Shiyan Chen, Zhaofei Yu, Tiejun Huang
Affiliations: School of Electronic and Computer Engineering, Peking University, Beijing, China 100871; School of Computer Science, Peking University, Beijing, China 100871; Institute for Artificial Intelligence, School of Computer Science, Peking University, Beijing, China 100871
Conference: nips 2022 (main track)
Keywords: Spiking Neural Networks;Batch Normalization;Spatio-Temporal Representation
Decision: Poster
Title: Deep Learning Methods for Proximal Inference via Maximum Moment Restriction
Authors: Ben Kompa
Affiliations: Department of Epidemiology, CAUSALab, Harvard School of Public Health; Department of Epidemiology, Harvard School of Public Health; Department of Biomedical Informatics, Harvard Medical School
Conference: nips 2022 (main track)
Keywords: causal inference;proximal inference;unobserved confounding
Decision: Poster
Title: Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization
Authors: Liang Zhang, Kiran Thekumparampil, Sewoong Oh, Niao He
Affiliations: University of Washington; ETH Zurich & Max Planck Institute; Amazon Search & UIUC; ETH Zurich
Conference: nips 2022 (main track)
Decision: Poster
Title: A Neural Corpus Indexer for Document Retrieval
Authors: Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Hao Sun, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang
Affiliations: Microsoft, Tsinghua University; Microsoft, Peking University; Microsoft, University of Illinois, Urbana Champaign; Microsoft
Conference: nips 2022 (main track)
Keywords: document retrieval;sequence-to-sequence;model-based index
Decision: Poster
Title: SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos
Authors: Gamaleldin Elsayed, Aravindh Mahendran, Sjoerd van Steenkiste, Klaus Greff, Michael Mozer, Thomas Kipf
Affiliations: ; Google Research
Conference: nips 2022 (main track)
Keywords: Object-centric learning;Computer Vision;Segmentation;Video
Decision: Poster
Title: Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer
Authors: Yanjing Li, Sheng Xu, Baochang Zhang, Xianbin Cao, Peng Gao, Guodong Guo
Affiliations: Shanghai Artificial Intelligence Laboratory, Shanghai, P.R.China; Beihang University, Beijing, P.R.China; Beihang University, Beijing, P.R.China; Zhongguancun Laboratory, Beijing, P.R.China; Institute of Deep Learning, Baidu Research, Beijing, P.R.China; National Engineering Laboratory for Deep Learning Technology and Application, Beijing, P.R.China
Conference: nips 2022 (main track)
Decision: Poster
Title: Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers
Authors: Albert Qiaochu Jiang, Wenda Li, Szymon Tworkowski, Konrad Czechowski, Tomasz Odrzygóźdź, Piotr Miłoś, Yuhuai Wu, Mateja Jamnik
Affiliations: Polish Academy of Sciences; University of Warsaw; IDEAS NCBR; Google Research & Stanford University; University of Cambridge
Conference: nips 2022 (main track)
Keywords: Theorem proving;language models;neuro-symbolic method;automated theorem provers;MiniF2F;PISA
Decision: Poster
Title: Improving Certified Robustness via Statistical Learning with Logical Reasoning
Authors: Zhuolin Yang, Zhikuan Zhao, Boxin Wang, Jiawei Zhang, Linyi Li, Hengzhi Pei, Bojan Karlaš, Ji Liu, Heng Guo, Ce Zhang, Bo Li
Affiliations: ETH Zürich; Kwai Inc.; UIUC; University of Edinburgh
Conference: nips 2022 (main track)
Keywords: certified robustness;logical reasoning
Decision: Poster
Title: Co-Modality Graph Contrastive Learning for Imbalanced Node Classification
Authors: Yiyue Qian, Chunhui Zhang, Yiming Zhang, Qianlong Wen, Yanfang Ye, Chuxu Zhang
Affiliations: Department of Computer and Data Sciences, Case Western Reserve University, USA; Department of Computer Science, Brandeis University, USA; Department of Compute Science and Engineering, University of Notre Dame, USA
Conference: nips 2022 (main track)
Keywords: graph neural network;multi-modal learning;graph contrastive learning
Decision: Poster
Title: Chaotic Dynamics are Intrinsic to Neural Network Training with SGD
Authors: Luis Herrmann, Maximilian Granz, Tim Landgraf
Affiliations: Center for Digital Health - AG Roland Eils, Berlin Institute of Health, Kapelle-Ufer 2, 10117 Berlin; FU BioRobotics Lab, Freie Universität Berlin, Arnimallee 7, 14195 Berlin
Conference: nips 2022 (main track)
Keywords: Optimization;Deep Learning;Chaos;Neural Networks;Curvature;Seconder Order Optimization;SGD;Hessian
Decision: Poster
Title: On the inability of Gaussian process regression to optimally learn compositional functions
Authors: Matteo Giordano, Kolyan Ray, Johannes Schmidt-Hieber
Affiliations: Department of Mathematics, Imperial College London; Department of Applied Mathematics, University of Twente; Department of Statistics, University of Oxford
Conference: nips 2022 (main track)
Keywords: Gaussian processes;Bayesian nonparametrics;posterior contraction;minimax estimation;large-sample asymptotics
Decision: Poster
Title: Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
Authors: Zhiwei Xu, dapeng li, Bin Zhang, Yuan Zhan, Yunpeng Baiia, Guoliang Fan
Affiliations: Institute of Automation, Chinese Academy of Sciences
Conference: nips 2022 (main track)
Keywords: Multi-Agent Systems;Model-Based Reinforcement Learning
Decision: Poster
Title: ADBench: Anomaly Detection Benchmark
Authors: Songqiao Han, Xiyang Hu, Hailiang Huang, Minqi Jiang, Yue Zhao
Affiliations: Carnegie Mellon University; Shanghai University of Finance and Economics
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: anomaly detection;outlier detection;tabular data;benchmark
Decision: Poster
Title: SCONE: Surface Coverage Optimization in Unknown Environments by Volumetric Integration
Authors: Antoine Guedon, Pascal Monasse, Vincent Lepetit
Affiliations: LIGM, Ecole des Ponts, Univ Gustave Eiffel, CNRS, France
Conference: nips 2022 (main track)
Keywords: Computer Vision;3D reconstruction;Next Best View;3D scene exploration;Deep Learning
Decision: Poster
Title: Deep Generalized Schrödinger Bridge
Authors: Guan-Horng Liu, Tianrong Chen, Oswin So, Evangelos Theodorou
Affiliations: Massachusetts Institute of Technology, USA; Georgia Institute of Technology, USA
Conference: nips 2022 (main track)
Keywords: Mean-Field Game;Schrödinger Bridge;Deep Reinforcement Learning;Forward-Backward Stochastic Differential Equations
Decision: Highlighted
Title: On the detrimental effect of invariances in the likelihood for variational inference
Authors: Richard Kurle, Ralf Herbrich, Tim Januschowski, Yuyang (Bernie) Wang, Jan Gasthaus
Affiliations: AWS AI Labs; Hasso-Plattner Institut; Zalando SE
Conference: nips 2022 (main track)
Keywords: Bayesian Neural Networks;Variational Bayes;Variational Inference;Invariance;Symmetry;posterior collapse
Decision: Poster
Title: Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling
Authors: Kaitao Song, Yichong Leng, Xu Tan, Yicheng Zou, Tao Qin, Dongsheng Li
Affiliations: Microsoft Research Asia; University of Science and Technology of China; Fudan University
Conference: nips 2022 (main track)
Keywords: Natural Language Processing;Language Modeling;Reranking
Decision: Poster
Title: Giga-scale Kernel Matrix-Vector Multiplication on GPU
Authors: Robert Hu, Siu Lun Chau, Dino Sejdinovic, Joan Glaunès
Affiliations: MAP5, Université Paris Descartes; School of Computer and Mathematical Sciences, University of Adelaide; Amazon; Department of Statistics, University of Oxford
Conference: nips 2022 (main track)
Keywords: Kernel;GPU;RKHS;kernel matrix vector multiplication;interpolation;large scale;giga scale;10^9 points;big data
Decision: Poster
Title: Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation
Authors: Kristian Georgiev, Samuel Hopkins
Affiliations: MIT EECS, Cambridge, MA 02139
Conference: nips 2022 (main track)
Keywords: differential privacy;robustness;high-dimensional statistics;sparse mean estimation;sum-of-squares method;information-computation gaps;computational complexity of statistics;learning theory
Decision: Poster
Title: What You See is What You Get: Principled Deep Learning via Distributional Generalization
Authors: Bogdan Kulynych, Yao-Yuan Yang, Yaodong Yu, Jarosław Błasiok, Preetum Nakkiran
Affiliations: EPFL; Columbia University; UC San Diego; UC Berkeley
Conference: nips 2022 (main track)
Keywords: deep learning;differential privacy;disparate impact;distributional robustness;DRO;adversarial robustness;robust overfitting;distributional generalization
Decision: Poster
Title: Random Rank: The One and Only Strategyproof and Proportionally Fair Randomized Facility Location Mechanism
Authors: Haris Aziz, Alexander Lam, Mashbat Suzuki, Toby Walsh
Affiliations: Computer Science and Engineering, UNSW Sydney, Sydney NSW 2052, Australia
Conference: nips 2022 (main track)
Keywords: Facility location;Randomized Social Choice;Fairness in Collective Decision Problems;Voting
Decision: Poster
Title: K-LITE: Learning Transferable Visual Models with External Knowledge
Authors: Sheng Shen, Chunyuan Li, Xiaowei Hu, Yujia Xie, Jianwei Yang, Pengchuan Zhang, Zhe Gan, Lijuan Wang, Lu Yuan, Ce Liu, Kurt Keutzer, Trevor Darrell, Anna Rohrbach, Jianfeng Gao
Conference: nips 2022 (main track)
Keywords: external knowledge;task-level transfer;language-image pre-training
Decision: Highlighted
Title: Squeezeformer: An Efficient Transformer for Automatic Speech Recognition
Authors: Sehoon Kim, Amir Gholami, Albert Shaw, Nicholas Lee, Karttikeya Mangalam, Jitendra Malik, Michael Mahoney, Kurt Keutzer
Affiliations: University of California, Berkeley, Now at Google; University of California, Berkeley; University of California, Berkeley, ICSI, LBNL
Conference: nips 2022 (main track)
Keywords: ASR;speech recognition;efficient model;Transformers
Decision: Poster
Title: Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules
Authors: Kazuki Irie, Francesco Faccio, Jürgen Schmidhuber
Affiliations: The Swiss AI Lab, IDSIA, USI & SUPSI, Lugano, Switzerland and AI Initiative, KAUST, Thuwal, Saudi Arabia; The Swiss AI Lab, IDSIA, USI & SUPSI, Lugano, Switzerland
Conference: nips 2022 (main track)
Keywords: Neural controlled differential equations;Neural ODEs;continuous-time sequence processing;linear Transformers;fast weight programmers
Decision: Poster
Title: Don't Roll the Dice, Ask Twice: The Two-Query Distortion of Matching Problems and Beyond
Authors: Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros Voudouris
Affiliations: Sapienza University of Rome; University of Edinburgh; University of Essex
Conference: nips 2022 (main track)
Keywords: Distortion;Matching;Social Choice;Query
Decision: Poster
Title: OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
Authors: Jingkang Yang, Pengyun Wang, Dejian Zou, Zitang Zhou, Kunyuan Ding, WENXUAN PENG, Haoqi Wang, Guangyao Chen, Bo Li, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, Dan Hendrycks, Yixuan Li, Ziwei Liu
Affiliations: Beijing University of Posts and Telecommunications, Beijing, China; SenseTime Research, Shenzhen, China; S-Lab, Nanyang Technological University, Singapore; University of California, Berkeley, CA, USA; University of Wisconsin-Madison, Madison, WI, USA; Peking University, Beijing, China
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: OOD Detection
Decision: Poster
Title: OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport
Authors: Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
Affiliations: School of Cyber Science and Tech., Shenzhen Campus, Sun Yat-sen University; SKLOIS, Institute of Information Engineering, CAS; School of Cyber Security, University of Chinese Academy of Sciences; Alibaba Group; Key Lab. of Intelligent Information Processing, Institute of Computing Tech., CAS; School of Computer Science and Tech., University of Chinese Academy of Sciences; BDKM, University of Chinese Academy of Sciences; Peng Cheng Laboratory; School of Computer Science and Tech., University of Chinese Academy of Sciences
Conference: nips 2022 (main track)
Keywords: Multi-modal knowledge graph;Representation learning;Optimal transport
Decision: Poster
Title: Differentiable Analog Quantum Computing for Optimization and Control
Authors: Jiaqi Leng, Yuxiang Peng, Yi-Ling Qiao, Ming Lin, Xiaodi Wu
Affiliations: Department of Computer Science, University of Maryland; Center for Machine Learning, University of Maryland; Joint Center for Quantum Information and Computer Science, University of Maryland
Conference: nips 2022 (main track)
Keywords: analog quantum computing;differentiable programming;auto-differentiation;optimization;quantum control
Decision: Poster
Title: MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning
Authors: Jiangmeng Li, Wenwen Qiang, Yanan Zhang, Wenyi Mo, Changwen Zheng, Bing Su, Hui Xiong
Affiliations: Gaoling School of Artificial Intelligence, Renmin University of China, Beijing Key Laboratory of Big Data Management and Analysis Methods; Institute of Software Chinese Academy of Sciences, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou); Gaoling School of Artificial Intelligence, Renmin University of China; University of Chinese Academy of Sciences, Institute of Software Chinese Academy of Sciences, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou); Thrust of Artificial Intelligence, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou HKUST Fok Ying Tung Research Institute
Conference: nips 2022 (main track)
Keywords: self-supervised learning;representation learning;multi-view;contrastive learning;dimensional analysis
Decision: Poster
Title: RKHS-SHAP: Shapley Values for Kernel Methods
Authors: Siu Lun Chau, Robert Hu, Javier González, Dino Sejdinovic
Affiliations: School of Computer and Mathematical Sciences†, University of Adelaide; Amazon†; Microsoft Research, Cambridge; Department of Statistics, University of Oxford
Conference: nips 2022 (main track)
Keywords: Kernel Methods;Shapley Values;Explainable AI
Decision: Poster
Title: Conformal Frequency Estimation with Sketched Data
Authors: Matteo Sesia, Stefano Favaro
Affiliations: Department of Economics and Statistics, University of Torino and Collegio Carlo Alberto, Torino, Italy; Department of Data Sciences and Operations, University of Southern California, Los Angeles, California, USA
Conference: nips 2022 (main track)
Keywords: Sketching;conformal inference;memory constraints;privacy;frequency estimation
Decision: Poster
Title: Sound and Complete Verification of Polynomial Networks
Authors: Elias Abad Rocamora, Mehmet Fatih Sahin, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
Affiliations: LIONS, EPFL, Lausanne, Switzerland
Conference: nips 2022 (main track)
Keywords: branch and bound;adversarial robustness;adversarial examples;certified robustness;polynomial network verification
Decision: Poster
Title: On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels
Authors: Amnon Geifman, Meirav Galun, David Jacobs, Basri Ronen
Affiliations: Department of Computer Science, University of Maryland, College Park, MD; Department of Computer Science, Weizmann Institute of Science, Rehovot, Israel
Conference: nips 2022 (main track)
Keywords: Convolutional Neural Tangent Kernel;Spectral Theory;Reproducing Kernel Hilbert Space
Decision: Poster
Title: SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained debugging and analysis
Authors: Roxana Daneshjou, Mert Yuksekgonul, Zhuo Ran Cai, Roberto Novoa, James Zou
Affiliations: Department of Biomedical Data Science, Stanford University; Department of Computer Science, Stanford University; Department of Dermatology, Stanford University
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: explainability;interpretability;concepts;fine grained error analysis;healthcare
Decision: Poster
Title: VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web
Authors: Andrei Manolache, Florin Brad, Antonio Barbalau, Radu Tudor Ionescu, Marius Popescu
Affiliations: University of Bucharest; Bitdefender
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: authorship verification;dark web;authorship identification;authorship analysis;forensics;cybersecurity;natural language processing
Decision: Poster
Title: Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees
Authors: Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Remi Munos, Alexey Naumov, Mark Rowland, Michal Valko, Pierre Ménard
Affiliations: École Polytechnique; ENS Lyon; HSE University; Duisburg-Essen University, HSE University; DeepMind
Conference: nips 2022 (main track)
Decision: Poster
Title: Weakly-Supervised Multi-Granularity Map Learning for Vision-and-Language Navigation
Authors: Peihao Chen, Dongyu Ji, Kunyang Lin, Runhao Zeng, Thomas Li, Mingkui Tan, Chuang Gan
Affiliations: South China University of Technology; Shenzhen University; MIT-IBM Watson AI Lab, UMass Amherst; Information Technology R&D Innovation Center of Peking University; South China University of Technology, Pazhou Laboratory; South China University of Technology, Key Laboratory of Big Data and Intelligent Robot, Ministry of Education
Conference: nips 2022 (main track)
Keywords: Vision-and-Language Navigation;Map Representation;Weakly-Supervised Learning
Decision: Poster
Title: Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget
Authors: Jasmin Brandt, Viktor Bengs, Björn Haddenhorst, Eyke Hüllermeier
Affiliations: Institute of Informatics, University of Munich (LMU), Germany; Munich Center for Machine Learning, Germany; Institute of Informatics, University of Munich (LMU), Germany; Department of Computer Science, Paderborn University, Germany
Conference: nips 2022 (main track)
Keywords: Combinatorial Bandits;Preference-based Bandits;Online Learning;Algorithm Selection
Decision: Poster
Title: Revisiting Neural Scaling Laws in Language and Vision
Authors: Ibrahim Alabdulmohsin, Behnam Neyshabur, Xiaohua Zhai
Affiliations: Google Research, Blueshift Team, Mountain View, United States; Google Research, Brain Team, Zürich, Switzerland
Conference: nips 2022 (main track)
Keywords: Scaling Laws;Computer Vision;Neural Machine Translation;Language Modeling;Big Bench
Decision: Poster
Title: Multi-agent Dynamic Algorithm Configuration
Authors: Ke Xue, Jiacheng Xu, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, Yang Yu
Affiliations: State Key Laboratory for Novel Software Technology, Nanjing University; CERCIA, School of Computer Science, University of Birmingham; Polixir Technologies
Conference: nips 2022 (main track)
Keywords: Multi-agent reinforcement learning;Multi-objective optimization;Evolutionary algorithm;Automated machine learning;Dynamic algorithm configuration.
Decision: Poster
Title: Multi-Lingual Acquisition on Multimodal Pre-training for Cross-modal Retrieval
Authors: Liang Zhang, Anwen Hu, Qin Jin
Affiliations: School of Information, Renmin University of China; School of Information, Renmin University of China; Key Laboratory of Data Engineering and Knowledge Engineering (MOE), Renmin University of China
Conference: nips 2022 (main track)
Keywords: cross-lingual cross-modal retrieval;multilingual representation;multimodal representation
Decision: Poster
Title: Efficient Dataset Distillation using Random Feature Approximation
Authors: Noel Loo, Ramin Hasani, Alexander Amini, Daniela Rus
Affiliations: Computer Science and Artificial Intelligence Lab (CSAIL), Massachusetts Institute of Technology (MIT)
Conference: nips 2022 (main track)
Keywords: dataset distillation;neural tangent kernel;privacy;interpretability
Decision: Poster
Title: Feature-Proxy Transformer for Few-Shot Segmentation
Authors: Jian-Wei Zhang, Yifan Sun, Yi Yang, Wei Chen
Affiliations: Baidu Research; CCAI, College of Computer Science and Technology, Zhejiang University; State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China
Conference: nips 2022 (main track)
Keywords: Few-shot segmentation;vision transformer;prompt learning
Decision: Poster
Title: FlowHMM: Flow-based continuous hidden Markov models
Authors: Pawel Lorek, Rafal Nowak, Tomasz Trzcinski, Maciej Zieba
Affiliations: Department of Artificial Intelligence, Wrocław University of Science and Technology, Tooploox; Warsaw University of Technology, Jagiellonian University of Cracow, Tooploox, IDEAS NCBR; Institute of Computer Science, University of Wrocław, Tooploox; Mathematical Institute, University of Wrocław, Tooploox
Conference: nips 2022 (main track)
Keywords: Hidden Markov Models;Continuous Normalizing Flow models
Decision: Poster
Title: SAPA: Similarity-Aware Point Affiliation for Feature Upsampling
Authors: Hao Lu, Wenze Liu, Zixuan Ye, Hongtao Fu, Yuliang Liu, Zhiguo Cao
Affiliations: School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China
Conference: nips 2022 (main track)
Keywords: Feature upsampling;dense prediction;semantic segmentation;object detection;depth estimation;image matting
Decision: Poster
Title: Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits
Authors: Tongyang Li, Ruizhe Zhang
Affiliations: Department of Computer Science, The University of Texas at Austin; Advanced Institute of Information Technology, Center on Frontiers of Computing Studies, and School of Computer Science, Peking University
Conference: nips 2022 (main track)
Keywords: Approximately convex functions;quantum computing;stochastic convex bandits;logarithmic regret
Decision: Poster
Title: ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models
Authors: Chunyuan Li, Haotian Liu, Liunian Li, Pengchuan Zhang, Jyoti Aneja, Jianwei Yang, Ping Jin, Houdong Hu, Zicheng Liu, Yong Jae Lee, Jianfeng Gao
Affiliations: University of Wisconsin–Madison; UCLA; Microsoft
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: evaluation platform;task-level transfer;language-image pre-training;image classification;object detection
Decision: Poster
Title: Panchromatic and Multispectral Image Fusion via Alternating Reverse Filtering Network
Authors: Keyu Yan, Man Zhou, Jie Huang, Feng Zhao, Chengjun Xie, Chongyi Li, Danfeng Hong
Affiliations: University of Science and Technology of China, China; Hefei Institute of Physical Science, Chinese Academy of Sciences, China; Aerospace Information Research Institute, Chinese Academy of Sciences, China; Nanyang Technological University, Singapore
Conference: nips 2022 (main track)
Keywords: multi-spectral image fusion;multi-spectral image restoration
Decision: Poster
Title: TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets
Authors: Chengrun Yang, Gabriel Bender, Hanxiao Liu, Pieter-Jan Kindermans, Madeleine Udell, Yifeng Lu, Quoc V Le, Da Huang
Affiliations: Stanford University; Google Research, Brain Team
Conference: nips 2022 (main track)
Keywords: neural architecture search;tabular dataset;reinforcement learning;rejection sampling;Monte-Carlo sampling
Decision: Poster
Title: MaskTune: Mitigating Spurious Correlations by Forcing to Explore
Authors: Saeid Asgari, Aliasghar Khani, Fereshte Khani, Ali Gholami, Linh Tran, Ali Mahdavi Amiri, Ghassan Hamarneh
Affiliations: Stanford University; Autodesk AI Lab; Simon Fraser University
Conference: nips 2022 (main track)
Keywords: spurious correlations;selective classification;shortcut learning
Decision: Poster