hunoutl/paperlists huggingface dataset:
Title: Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting
Authors: Yong Liu, Haixu Wu, Jianmin Wang, Mingsheng Long
Affiliations: School of Software, BNRist, Tsinghua University, China
Conference: nips 2022 (main track)
Keywords: Time series forecasting;Transformers;Deep learning
Decision: Poster
Title: Prompt Certified Machine Unlearning with Randomized Gradient Smoothing and Quantization
Authors: Zijie Zhang, Yang Zhou, Xin Zhao, Tianshi Che, Lingjuan Lyu
Affiliations: Auburn University; Sony AI
Conference: nips 2022 (main track)
Keywords: Certified machine unlearning;randomized gradient smoothing;gradient quantization;theoretical guarantee;prompt unlearning
Decision: Poster
Title: Multi-agent Performative Prediction with Greedy Deployment and Consensus Seeking Agents
Authors: Qiang LI, Chung-Yiu Yau, Hoi-To Wai
Affiliations: Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin, Hong Kong SAR of China
Conference: nips 2022 (main track)
Keywords: Performative prediction;Multi-agent;Decentralized stochastic algorithm.
Decision: Poster
Title: Pure Transformers are Powerful Graph Learners
Authors: Jinwoo Kim, Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong
Affiliations: KAIST; LG AI Research; KAIST, LG AI Research; LG AI Research, University of Illinois Chicago
Conference: nips 2022 (main track)
Keywords: graph;transformer;self-attention;graph neural network;graph transformer;equivariant neural network;permutation equivariance;graph positional embedding
Decision: Poster
Title: Imbalance Trouble: Revisiting Neural-Collapse Geometry
Authors: Christos Thrampoulidis, Ganesh Ramachandra Kini, Vala Vakilian, Tina Behnia
Affiliations: University of British Columbia; University of California, Santa Barbara
Conference: nips 2022 (main track)
Keywords: neural collapse;implicit bias;interpolation;max-margin;class imbalance;convex relaxations
Decision: Poster
Title: Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning
Authors: Minjong Yoo, SangWoo Cho, Honguk Woo
Affiliations: Department of Computer Science and Engineering, Sungkyunkwan University
Conference: nips 2022 (main track)
Keywords: mutli-task reinforcement learning;offline reinforcement learning;task inference;skill embedding
Decision: Highlighted
Title: On the Importance of Gradient Norm in PAC-Bayesian Bounds
Authors: Itai Gat, Yossi Adi, Alex Schwing, Tamir Hazan
Affiliations: University of Illinois at Urbana-Champaign; Technion; FAIR Team, Meta AI Research
Conference: nips 2022 (main track)
Keywords: generalization bound;pac-bayes
Decision: Poster
Title: Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem?
Authors: Yimeng Min, Frederik Wenkel, Michael Perlmutter, Guy Wolf
Affiliations: Department of Mathematics, University of California, Los Angeles, CA, USA; Department of Mathematics and Statistics, Université de Montréal, Mila – Quebec AI Institute, Montreal, QC, Canada; Department of Computer Science, Cornell University, Ithaca, NY, USA
Conference: nips 2022 (main track)
Keywords: Graph Neural Networks;Geometric Scattering;Combinatorial Optimization
Decision: Poster
Title: Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights
Authors: Konstantin Schürholt, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth
Affiliations: AIML Lab, School of Computer Science, University of St.Gallen; Institut de Robòtica i Informàtica Industrial, Universitat Politècnica de Catalunya; Samsung - SAIT AI Lab, Montreal
Conference: nips 2022 (main track)
Keywords: Weight Generation;Representation Learning;Model Zoo;Hyper-Representations;Ensembling
Decision: Poster
Title: Expected Improvement for Contextual Bandits
Authors: Hung Tran-The, Sunil Gupta, Santu Rana, Tuan Truong, Long Tran-Thanh, Svetha Venkatesh
Affiliations: Applied Artificial Intelligence Institute, Deakin University; University of Warwick, UK; FPT Software AI Center
Conference: nips 2022 (main track)
Keywords: Expected Improvement;Linear Bandits;Neural Contextual Bandits;Contextual Bandits;Neural Tangent Kernel;Greedy Strategy
Decision: Poster
Title: Unsupervised Learning under Latent Label Shift
Authors: Manley Roberts, Pranav Mani, Saurabh Garg, Zachary Lipton
Affiliations: Carnegie Mellon University
Conference: nips 2022 (main track)
Keywords: unsupervised learning;label shift;topic modeling;domain adaptation;mixture proportion estimation;unsupervised structure discovery;anchor word;deep learning
Decision: Poster
Title: Learning interacting dynamical systems with latent Gaussian process ODEs
Authors: Çağatay Yıldız, Melih Kandemir, Barbara Rakitsch
Affiliations: University of Tübingen; Bosch Center for Artiﬁcial Intelligence; University of Southern Denmark
Conference: nips 2022 (main track)
Keywords: Gaussian Processes;Ordinary Differential Equations;Interacting Dynamical Systems
Decision: Poster
Title: Finding Naturally Occurring Physical Backdoors in Image Datasets
Authors: Emily Wenger, Roma Bhattacharjee, Arjun Nitin Bhagoji, Josephine Passananti, Emilio Andere, Heather Zheng, Ben Zhao
Affiliations: University of Chicago; Princeton University
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: machine learning;security;backdoors
Decision: Poster
Title: Nonparametric Uncertainty Quantification for Single Deterministic Neural Network
Authors: Nikita Kotelevskii
Affiliations: HSE University, Moscow, Russia; Technology Innovation Institute, Abu Dhabi, UAE; Skolkovo Institute of Science and Technology, Moscow, Russia; Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE; AIRI, Moscow, Russia; Lomonosov Moscow State University, Moscow, Russia
Conference: nips 2022 (main track)
Keywords: Uncertainty Quantification;Nonparametric Methods;Deep Learning;Machine Learning
Decision: Poster
Title: The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation?
Authors: Jean Barbier, TianQi Hou, Marco Mondelli, Manuel Saenz
Affiliations: Institute of Science and Technology Austria; International Center for Theoretical Physics; Huawei
Conference: nips 2022 (main track)
Keywords: low-rank matrix estimation;mismatch;Bayes estimator;Approximate Message Passing;state evolution;spectral method
Decision: Poster
Title: An In-depth Study of Stochastic Backpropagation
Authors: Jun Fang, Mingze Xu, Hao Chen, Bing Shuai, Zhuowen Tu, Joseph Tighe
Affiliations: AWS AI Labs
Conference: nips 2022 (main track)
Keywords: Memory efficient training method;stochastic backpropagation;image classification;object detection
Decision: Poster
Title: Deep Differentiable Logic Gate Networks
Authors: Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
Affiliations: University of Salzburg; University of Konstanz; Stanford University, University of Konstanz; University of Frankfurt, MIT-IBM Watson AI Lab
Conference: nips 2022 (main track)
Keywords: logic gate;logic operator;differentiable;relaxation;continuous;fast inference
Decision: Poster
Title: Out-of-Distribution Detection with An Adaptive Likelihood Ratio on Informative Hierarchical VAE
Authors: Yewen Li, Chaojie Wang, Xiaobo Xia, Tongliang Liu, xin miao, Bo An
Affiliations: Nanyang Technological University; University of Sydney; Amazon
Conference: nips 2022 (main track)
Keywords: Unsupervised Out-of-Distribution Detection;Hierarchical VAE
Decision: Poster
Title: VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely?
Authors: Jiawei Jiang, Lukas Burkhalter, Fangcheng Fu, Bolin Ding, Bo Du, Anwar Hithnawi, Bo Li, Ce Zhang
Affiliations: University of Illinois at Urbana–Champaign; Alibaba Group; Peking University; School of Computer Science, Institute of Artificial Intelligence, Hubei Key Laboratory of Multimedia and Network Communication Engineering, National Engineering Research Center for Multimedia Software, Wuhan University; ETH Zürich
Conference: nips 2022 (main track)
Keywords: Vertical federated learning;participant valuation;participant selection;mutual information
Decision: Poster
Title: Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution
Authors: Leon Hetzel, Simon Boehm, Niki Kilbertus, Stephan Günnemann, mohammad lotfollahi, Fabian Theis
Affiliations: Department of Computer Science, Technical University of Munich; Department of Mathematics, Technical University of Munich; Wellcome Sanger Institute, Cambridge; Department of Mathematics, Technical University of Munich; Helmholtz Center for Computational Health, Munich; Department of Computer Science, Technical University of Munich; Helmholtz AI, Munich; Helmholtz Center for Computational Health, Munich
Conference: nips 2022 (main track)
Keywords: single cell;perturbation;disentanglement;transfer learning;drug discovery;unsupervised;genomics
Decision: Poster
Title: Chefs' Random Tables: Non-Trigonometric Random Features
Authors: Valerii Likhosherstov, Krzysztof M Choromanski, Kumar Avinava Dubey, Frederick Liu, Tamas Sarlos, Adrian Weller
Affiliations: University of Cambridge & The Alan Turing Institute; University of Cambridge; Google Research & Columbia University; Google Research
Conference: nips 2022 (main track)
Keywords: random features;gaussian kernel;attention;Transformers
Decision: Poster
Title: Structuring Representations Using Group Invariants
Authors: Mehran Shakerinava, Arnab Kumar Mondal, Siamak Ravanbakhsh
Affiliations: McGill University and Mila, Montréal, Canada
Conference: nips 2022 (main track)
Keywords: Equivariance;Invariance;Geometry;Group Theory;Representation learning;Self-supervised learning
Decision: Poster
Title: Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models
Authors: Boxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro
Affiliations: University of Illinois at Urbana-Champaign; NVIDIA; California Institute of Technology; Arizona State University
Conference: nips 2022 (main track)
Keywords: language model;toxicity;ethics
Decision: Poster
Title: Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs
Authors: Cristian Bodnar, Francesco Di Giovanni, Benjamin Chamberlain, Pietro Lió, Michael Bronstein
Affiliations: University of Oxford & Twitter; Twitter; University of Cambridge
Conference: nips 2022 (main track)
Keywords: sheaf;graph;neural network;diffusion;heterophily;oversmoothing;algebraic topology
Decision: Poster
Title: Black-Box Generalization: Stability of Zeroth-Order Learning
Authors: Konstantinos Nikolakakis, Farzin Haddadpour, Dionysis Kalogerias, Amin Karbasi
Affiliations: Yale University & Google Research; Yale University
Conference: nips 2022 (main track)
Keywords: Generalization Error;Zeroth-Order Optimization;Black-Box Learning
Decision: Poster
Title: GhostNetV2: Enhance Cheap Operation with Long-Range Attention
Authors: Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Chao Xu, Yunhe Wang
Affiliations: School of Computer Science, University of Sydney; School of Artificial Intelligence, Peking University; Huawei Noah's Ark Lab
Conference: nips 2022 (main track)
Decision: Poster
Title: Convexity Certificates from Hessians
Authors: Julien Klaus, Niklas Merk, Konstantin Wiedom, Sören Laue, Joachim Giesen
Affiliations: Friedrich Schiller University Jena; Technical University of Kaiserslautern, Data Assessment Solutions GmbH
Conference: nips 2022 (main track)
Keywords: disciplined convex programming;matrix calculus;classical machine learning
Decision: Poster
Title: Surprise Minimizing Multi-Agent Learning with Energy-based Models
Authors: Karush Suri, Xiao Qi Shi, Konstantinos N Plataniotis, Yuri Lawryshyn
Affiliations: RBC Capital Markets; University of Toronto
Conference: nips 2022 (main track)
Keywords: Energy-based Models;Multi-Agent Learning;Surprise Minimization
Decision: Poster
Title: Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations
Authors: Jeff Z. HaoChen, Colin Wei, Ananya Kumar, Tengyu Ma
Affiliations: Stanford University
Conference: nips 2022 (main track)
Keywords: representation learning theory;self-supervised learning theory;contrastive learning theory;domain adaptation theory;deep learning theory
Decision: Poster
Title: GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Models
Authors: Wenbo Su, Yuanxing Zhang, Yufeng Cai, Kaixu Ren, Pengjie Wang, Huimin Yi, Yue Song, Jing Chen, Hongbo Deng, Jian Xu, Lin Qu, Bo Zheng
Affiliations: Taobao.com; Alibaba Group
Conference: nips 2022 (main track)
Keywords: recommendation model;synchronous training;asynchronous training;tuning-free switching;global batch size
Decision: Poster
Title: Pareto Set Learning for Expensive Multi-Objective Optimization
Authors: Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang
Affiliations: Department of Computer Science, City University of Hong Kong
Conference: nips 2022 (main track)
Keywords: Multi-Objective Optimization;Expensive Multi-Objective Optimization;Bayesian Optimization;Multi-Objective Bayesian Optimization;Pareto Set Learning
Decision: Poster
Title: TempEL: Linking Dynamically Evolving and Newly Emerging Entities
Authors: Klim Zaporojets, Lucie-Aimée Kaffee, Johannes Deleu, Thomas Demeester, Chris Develder, Isabelle Augenstein
Affiliations: Dept. of Computer Science, University of Copenhagen, Denmark; Ghent University – imec, IDLab, Ghent, Belgium
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Entity Linking;Entity Disambiguation;Information Extraction;Temporal Data Evolution
Decision: Poster
Title: Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever
Authors: Jin Chen, Defu Lian, Yucheng Li, Baoyun Wang, Kai Zheng, Enhong Chen
Affiliations: University of Science and Technology of China; Hisense; University of Electronic Science and Technology of China
Conference: nips 2022 (main track)
Keywords: Importance ReSampling;Negative Sampling;Recommender Systems;Retrieval
Decision: Poster
Title: Aligning individual brains with fused unbalanced Gromov Wasserstein
Authors: Alexis Thual, Quang Huy TRAN, Tatiana Zemskova, Nicolas Courty, Rémi Flamary, Stanislas Dehaene, Bertrand Thirion
Affiliations: Université Bretagne-Sud, CNRS, IRISA, Vannes, France; Mind, Inria Paris-Saclay, Palaiseau, France; Cognitive Neuroimaging Unit, INSERM, CEA, CNRS, NeuroSpin center, Gif sur Yvette, France; Mind, Inria Paris-Saclay, Palaiseau, France; Inserm, Collège de France, Paris, France; Cognitive Neuroimaging Unit, INSERM, CEA, CNRS, NeuroSpin center, Gif sur Yvette, France; Inserm, Collège de France, Paris, France; CMAP, Ecole Polytechnique, Palaiseau, France; Université Bretagne-Sud, CNRS, IRISA, Vannes, France; CMAP, Ecole Polytechnique, Palaiseau, France
Conference: nips 2022 (main track)
Keywords: Brain imaging;Optimal transport;fMRI;registration
Decision: Poster
Title: Causal Discovery in Linear Latent Variable Models Subject to Measurement Error
Authors: Yuqin Yang, AmirEmad Ghassami, Mohamed Nafea, Negar Kiyavash, Kun Zhang, Ilya Shpitser
Affiliations: Georgia Institute of Technology; École Polytechnique Fédérale de Lausanne (EPFL); Carnegie Mellon University & MBZUAI; University of Detroit Mercy; Johns Hopkins University
Conference: nips 2022 (main track)
Keywords: Causal discovery;Measurement error;Latent variable models;Faithfulness;Structural identification
Decision: Poster
Title: Ordered Subgraph Aggregation Networks
Authors: Chendi Qian, Gaurav Rattan, Floris Geerts, Mathias Niepert, Christopher Morris
Affiliations: Department of Computer Science, University of Stuttgart; Department of Computer Science, University of Antwerp; Department of Computer Science, RWTH Aachen University; Department of Computer Science, TU Munich
Conference: nips 2022 (main track)
Keywords: GNNs;expressivity;subgraphs;differentiating through discrete structures
Decision: Poster
Title: Provable Generalization of Overparameterized Meta-learning Trained with SGD
Authors: Yu Huang, Yingbin Liang, Longbo Huang
Affiliations: Department of ECE, The Ohio State University; IIIS, Tsinghua University
Conference: nips 2022 (main track)
Keywords: MAML;generalization theory;excess risk;mixed linear regression
Decision: Poster
Title: Alternating Mirror Descent for Constrained Min-Max Games
Authors: Andre Wibisono, Molei Tao, Georgios Piliouras
Affiliations: Department of Computer Science, Yale University; Department of Mathematics, Georgia Institute of Technology; Engineering Systems and Design, Singapore University of Technology and Design
Conference: nips 2022 (main track)
Keywords: Min-max games;regret bound;mirror descent;alternating method;Hamiltonian;symplectic integrator
Decision: Poster
Title: SAViT: Structure-Aware Vision Transformer Pruning via Collaborative Optimization
Authors: Chuanyang Zheng, zheyang li, Kai Zhang, Zhi Yang, Wenming Tan, Jun Xiao, Ye Ren, Shiliang Pu
Affiliations: Hikvision Research Institute, Hangzhou, China; Zhejiang University, Hangzhou, China
Conference: nips 2022 (main track)
Keywords: Vision Transformer;Pruning;Compression
Decision: Poster
Title: Torsional Diffusion for Molecular Conformer Generation
Authors: Bowen Jing, Gabriele Corso, Jeffrey Chang, Regina Barzilay, Tommi Jaakkola
Affiliations: CSAIL, Massachusetts Institute of Technology; Dept. of Physics, Harvard University
Conference: nips 2022 (main track)
Keywords: conformer generation;diffusion models;score-based models;molecular structure;equivariance;geometric deep learning;Boltzmann generator
Decision: Highlighted
Title: MoCoDA: Model-based Counterfactual Data Augmentation
Authors: Silviu Pitis, Elliot Creager, Ajay Mandlekar, Animesh Garg
Affiliations: University of Toronto and NVIDIA; NVIDIA; University of Toronto and Vector Institute
Conference: nips 2022 (main track)
Keywords: reinforcement learning;off-policy reinforcement learning;model-based reinforcement learning;offline reinforcement learning;data augmentation
Decision: Poster
Title: Pythae: Unifying Generative Autoencoders in Python - A Benchmarking Use Case
Authors: Clément Chadebec, Louis Vincent, Stephanie Allassonniere
Affiliations: Université Paris Cité, INRIA, Inserm, SU Centre de Recherche des Cordeliers∗; Implicity†, Université Paris Cité, INRIA, Inserm, SU Centre de Recherche des Cordeliers∗
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Python Library;Generative Autoencoders;Benchmarking
Decision: Poster
Title: Personalized Federated Learning towards Communication Efficiency, Robustness and Fairness
Authors: Shiyun Lin, Yuze Han, Xiang Li, Zhihua Zhang
Affiliations: School of Mathematical Sciences, Peking University; Center for Statistical Science, Peking University; School of Mathematical Sciences, Peking University
Conference: nips 2022 (main track)
Keywords: personalized federated learning;communication efficiency;robustness;fairness;low-dimensional projection;infimal convolution
Decision: Poster
Title: Learning to Navigate Wikipedia by Taking Random Walks
Authors: Manzil Zaheer, Kenneth Marino, Will Grathwohl, John Schultz, Wendy Shang, Sheila Babayan, Arun Ahuja, Ishita Dasgupta, Christine Kaeser-Chen, Rob Fergus
Affiliations: DeepMind New York
Conference: nips 2022 (main track)
Keywords: web navigation;wikipedia;retrieval;fact verification;question answering
Decision: Poster
Title: Procedural Image Programs for Representation Learning
Authors: Manel Baradad, Richard Chen, Jonas Wulff, Tongzhou Wang, Rogerio Feris, Antonio Torralba, Phillip Isola
Affiliations: MIT CSAIL; JPMorgan Chase Bank, N.A.; MIT-IBM Watson AI Lab; Xyla, Inc
Conference: nips 2022 (main track)
Keywords: procedural images;representation learning;generative image models;contrastive learning
Decision: Poster
Title: Mutual Information Divergence: A Unified Metric for Multimodal Generative Models
Authors: Jin-Hwa Kim, Yunji Kim, Jiyoung Lee, Kang Min Yoo, Sang-Woo Lee
Affiliations: NAVER AI Lab, CLOVA, SNU AIIS, Republic of Korea; NAVER AI Lab, Republic of Korea; NAVER CLOVA, AI Lab, KAIST AI, Republic of Korea; NAVER AI Lab, SNU AIIS, Republic of Korea
Conference: nips 2022 (main track)
Keywords: text-to-image generation;image captioning;evaluation metric;mutual information;vision and language
Decision: Poster
Title: On Batch Teaching with Sample Complexity Bounded by VCD
Authors: Farnam Mansouri, Hans Simon, Adish Singla, Sandra Zilles
Affiliations: University of Regina; Max Planck Institute for Software Systems; Max Planck Institute for Informatics; University of Toronto
Conference: nips 2022 (main track)
Keywords: Machine Teaching;VC Dimension;Collusion-Freeness
Decision: Poster
Title: On the Generalizability and Predictability of Recommender Systems
Authors: Duncan McElfresh, Sujay Khandagale, Jonathan Valverde, John Dickerson, Colin White
Affiliations: ArthurAI; University of Maryland; Abacus.AI
Conference: nips 2022 (main track)
Keywords: recommender systems;algorithm selection;meta-learning;collaborative filtering
Decision: Poster
Title: SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks
Authors: Davide Buffelli, Pietro Lió, Fabio Vandin
Affiliations: Department of Information Engineering, University of Padova, Padova, Italy 35131; Department of Computer Science and Technology, University of Cambridge, Cambridge, United Kingdom CB3 0FD
Conference: nips 2022 (main track)
Keywords: Graph Neural Networks;Graph Representation Learning;Deep Learning;Graph Classification
Decision: Poster
Title: Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models
Authors: Haoyue Dai, Peter Spirtes, Kun Zhang
Affiliations: Department of Philosophy, Carnegie Mellon University; Machine Learning Department, Mohamed bin Zayed University of Artiﬁcial Intelligence; Department of Philosophy, Carnegie Mellon University
Conference: nips 2022 (main track)
Keywords: causal discovery;measurement error;linear non-Gaussian models;transformed independent noise condition
Decision: Poster
Title: ViSioNS: Visual Search in Natural Scenes Benchmark
Authors: Fermín Travi, Gonzalo Ruarte, Gaston Bujia, Juan Esteban Kamienkowski
Affiliations: Laboratorio de Inteligencia Artificial Aplicada, Instituto de Ciencias de la Computación, Universidad de Buenos Aires - CONICET, Argentina; Depto. de Computación, Fac. de Cs. Exactas y Naturales, Universidad de Buenos Aires, Argentina; Laboratorio de Inteligencia Artificial Aplicada, Instituto de Ciencias de la Computación, Universidad de Buenos Aires - CONICET, Argentina; Depto. de Computación, Fac. de Cs. Exactas y Naturales, Universidad de Buenos Aires, Argentina; Maestría de Explotación de Datos y Descubrimiento del Conocimiento, Universidad de Buenos Aires, Argentina; Laboratorio de Inteligencia Artificial Aplicada, Instituto de Ciencias de la Computación, Universidad de Buenos Aires - CONICET, Argentina
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: visual search;eye movements;computational models of human behavior;ideal bayesian observer
Decision: Poster
Title: Cross Aggregation Transformer for Image Restoration
Authors: Zheng Chen, Yulun Zhang, Jinjin Gu, yongbing zhang, Linghe Kong, Xin Yuan
Affiliations: Westlake University; Harbin Institute of Technology (Shenzhen); Shanghai Jiao Tong University; ETH Zürich; Shanghai AI Laboratory
Conference: nips 2022 (main track)
Keywords: Cross Aggregation Transformer;Locality Complementary Module;Image Restoration
Decision: Poster
Title: Near-Optimal Correlation Clustering with Privacy
Authors: Vincent Cohen-Addad, Chenglin Fan, Silvio Lattanzi, Slobodan Mitrovic, Ashkan Norouzi-Fard, Nikos Parotsidis, Jakub Tarnawski
Affiliations: UC Davis; Pennsylvania State University; Microsoft Research; Google Research
Conference: nips 2022 (main track)
Keywords: Clustering;Correlation Clustering;Differential Privacy;Approximation Algorithms
Decision: Poster