hunoutl/paperlists huggingface dataset:
Title: Pragmatic Image Compression for Human-in-the-Loop Decision-Making
Authors: Sid Reddy, Anca Dragan, Sergey Levine
Affiliations: University of California, Berkeley
Conference: nips 2021 (main track)
Keywords: image compression;human-in-the-loop learning;generative adversarial networks;sequential decision-making;pragmatics;generative models
Decision: Spotlight
Title: Compressed Video Contrastive Learning
Authors: Yuqi Huo, Mingyu Ding, Haoyu Lu, Nanyi Fei, Zhiwu Lu, Ji-Rong Wen, Ping Luo
Affiliations: The University of Hong Kong, Pokfulam, Hong Kong, China; Gaoling School of Artiﬁcial Intelligence, Renmin University of China, Beijing, China; School of Information, Renmin University of China, Beijing, China
Conference: nips 2021 (main track)
Keywords: compressed video;self-supervised learning;motion vector;contrastive learning
Decision: Poster
Title: Optimal Rates for Nonparametric Density Estimation under Communication Constraints
Authors: Jayadev Acharya, Clement Canonne, Aditya Vikram Singh, Himanshu Tyagi
Affiliations: University of Sydney, Sydney, Australia; Indian Institute of Science, Bangalore, India; Cornell University, Ithaca, USA
Conference: nips 2021 (main track)
Keywords: density estimation;communication constraints;nonparametric inference;distributed algorithms
Decision: Poster
Title: Group Equivariant Subsampling
Authors: Jin Xu, Hyunjik Kim, Thomas Rainforth, Yee Teh
Affiliations: Department of Statistics, University of Oxford, UK.; DeepMind, UK.
Conference: nips 2021 (main track)
Keywords: group equivariance;group invariance;convolutional architecture;autoencoders;representation learning
Decision: Poster
Title: Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes
Authors: Cristopher Salvi, Maud Lemercier, Chong Liu, Blanka Horvath, Theodoros Damoulas, Terry Lyons
Affiliations: University of Oxford; King’s College London, The Alan Turing Institute & Technical University of Munich; University of Oxford & The Alan Turing Institute; University of Warwick & The Alan Turing Institute
Conference: nips 2021 (main track)
Keywords: kernel mean embedding;stochastic process;filtration;maximum mean discrepancy;signature transform.
Decision: Poster
Title: Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects
Authors: Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Marc Pollefeys
Affiliations: University of Amsterdam, Netherlands; Google Research, Zurich, Switzerland; Department of Computer Science, ETH Zurich, Switzerland
Conference: nips 2021 (main track)
Keywords: 3d shape reconstruction;deblurring;fast moving objects;motion blur;temporal super-resolution;test-time optimization;shape from blur
Decision: Poster
Title: Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
Authors: Qi Zhu, Carl Yang, Yidan Xu, Haonan Wang, Chao Zhang, Jiawei Han
Affiliations: University of Illinois Urbana-Champaign; Georgia Institute of Technology; University of Washington; Emory University
Conference: nips 2021 (main track)
Keywords: graph neural network;transfer learning;pre-training;domain adaptation;theoretical guarantee
Decision: Poster
Title: Scalable Online Planning via Reinforcement Learning Fine-Tuning
Authors: Arnaud Fickinger, Hengyuan Hu, Brandon Amos, Stuart Russell, Noam Brown
Affiliations: Facebook AI Research; UC Berkeley
Conference: nips 2021 (main track)
Keywords: Deep Reinforcement Learning;Search;Neural Network Fine-Tuning;Hanabi;Atari
Decision: Poster
Title: Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning
Authors: Xin Zhang, Zhuqing Liu, Jia Liu, Zhengyuan Zhu, Songtao Lu
Affiliations: Dept. of Statistics, Iowa State University, Ames, IA 50010; Dept. of ECE, The Ohio State University, Columbus, OH, 43210; IBM Research AI, IBM Thomas J. Watson Research Center, Yorktown Heights, NY 10598
Conference: nips 2021 (main track)
Keywords: Decentralized Mini-max Optimization;Variance Reduction;Nonlinear Function Approximation;Policy Evaluation
Decision: Poster
Title: NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
Authors: Peng Wang, Lingjie Liu, Yuan Liu, Christian Theobalt, Taku Komura, Wenping Wang
Affiliations: The University of Hong Kong; Texas A&M University; Max Planck Institute for Informatics
Conference: nips 2021 (main track)
Keywords: neural rendering;3d reconstruction
Decision: Spotlight
Title: A/B/n Testing with Control in the Presence of Subpopulations
Authors: Yoan Russac, Christina Katsimerou, Dennis Bohle, Olivier Cappé, Aurélien Garivier, Wouter Koolen
Affiliations: UMPA, CNRS, Inria, ENS Lyon; CNRS, Inria, ENS, Université PSL; Centrum Wiskunde & Informatica; Booking.com
Conference: nips 2021 (main track)
Keywords: Pure exploration strategies;subpopulations;bandits
Decision: Poster
Title: Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
Authors: Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal Xhonneux, Jian Tang
Affiliations: Mila - Québec AI Institute, Université de Montréal; HEC Montréal, CIFAR AI Chair
Conference: nips 2021 (main track)
Keywords: graph neural networks;link prediction;knowledge graph completion;Bellman-Ford algorithm
Decision: Poster
Title: HRFormer: High-Resolution Vision Transformer for Dense Predict
Authors: YUHUI YUAN, Rao Fu, Lang Huang, Weihong Lin, Chao Zhang, Xilin Chen, Jingdong Wang
Affiliations: Microsoft Research Asia; University of Chinese Academy of Sciences; Peking University; University of Chinese Academy of Sciences, Institute of Computing Technology, CAS; Baidu
Conference: nips 2021 (main track)
Keywords: Transformer;High-Resolution;Pose Estimation;Semantic Segmentation
Decision: Poster
Title: Skipping the Frame-Level: Event-Based Piano Transcription With Neural Semi-CRFs
Authors: Yujia Yan, Frank Cwitkowitz, Zhiyao Duan
Affiliations: Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, 14627 USA
Conference: nips 2021 (main track)
Keywords: Music;Audio;Piano Transcrition;Music Transcription;Semi-Markov;CRFs;Sound Event Detection;Music Information Retrieval
Decision: Poster
Title: Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems
Authors: Wenqing Zheng, Qiangqiang Guo, Hao Yang, Peihao Wang, Zhangyang Wang
Affiliations: University of Washington; The University of Texas at Austin
Conference: nips 2021 (main track)
Keywords: Transformers;Control;Reinforcement Learning;Cyber-Physical System
Decision: Poster
Title: On UMAP's True Loss Function
Authors: Sebastian Damrich, Fred Hamprecht
Affiliations: HCI/IWR at Heidelberg University, 69120 Heidelberg, Germany
Conference: nips 2021 (main track)
Keywords: UMAP;t-SNE;negative sampling;scRNA-seq;unsupervised learning;visualization;non-linear dimension reduction;manifold learning
Decision: Poster
Title: Habitat 2.0: Training Home Assistants to Rearrange their Habitat
Authors: Andrew Szot, Alexander Clegg, Eric Undersander, Erik Wijmans, Yili Zhao, John Turner, Noah Maestre, Mustafa Mukadam, Devendra Singh Chaplot, Oleksandr Maksymets, Aaron Gokaslan, Vladimír Vondruš, Sameer Dharur, Franziska Meier, Wojciech Galuba, Angel Chang, Zsolt Kira, Vladlen Koltun, Jitendra Malik, Manolis Savva, Dhruv Batra
Affiliations: Facebook AI Research; ; Simon Fraser University; Georgia Tech; Facebook AI Research, UC Berkeley; Facebook AI Research, Georgia Tech; Intel Research
Conference: nips 2021 (main track)
Keywords: Benchmark;Simulator;Reinforcement Learning;Embodied AI
Decision: Spotlight
Title: Precise characterization of the prior predictive distribution of deep ReLU networks
Authors: Lorenzo Noci, Gregor Bachmann, Kevin Roth, Sebastian Nowozin, Thomas Hofmann
Affiliations: Dept of Computer Science, ETH Zürich; Microsoft Research, Cambridge, UK
Conference: nips 2021 (main track)
Keywords: Bayesian Neural Networks;Priors;Meijer-G;NNGP;finite width corrections
Decision: Spotlight
Title: MADE: Exploration via Maximizing Deviation from Explored Regions
Authors: Tianjun Zhang, Paria Rashidinejad, Jiantao Jiao, Yuandong Tian, Joseph Gonzalez, Stuart Russell
Affiliations: Facebook AI Research; University of California, Berkeley
Conference: nips 2021 (main track)
Keywords: Deep reinforcement learning;exploration;intrinsic reward
Decision: Poster
Title: DNN-based Topology Optimisation: Spatial Invariance and Neural Tangent Kernel
Authors: Benjamin Dupuis, Arthur Jacot
Affiliations: Chair of Statistical Field Theory, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
Conference: nips 2021 (main track)
Keywords: Neural Tangent Kernel;Topology optimization;DNN;Neural Networks;positional encoding
Decision: Poster
Title: PatchGame: Learning to Signal Mid-level Patches in Referential Games
Authors: Kamal Gupta, Gowthami Somepalli, Anubhav Anubhav, Vinoj Yasanga Jayasundara Magalle Hewa, Matthias Zwicker, Abhinav Shrivastava
Affiliations: University of Maryland, College Park
Conference: nips 2021 (main track)
Keywords: emergent language;referential games;self-supervised learning;mid-level patches
Decision: Poster
Title: Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime
Authors: Hugo Cui, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
Affiliations: SPOC, EPFL, Lausanne; IdePHICS, EPFL, Lausanne
Conference: nips 2021 (main track)
Keywords: Statistical Physics;Kernel ridge regression;Teacher-Student;Replica method;High-dimensional statistics;Gaussian Design
Decision: Poster
Title: Beyond BatchNorm: Towards a Unified Understanding of Normalization in Deep Learning
Authors: Ekdeep S Lubana, Robert Dick, Hidenori Tanaka
Affiliations: Department of Applied Physics, Stanford University and Physics & Informatics Laboratories, NTT Research, Inc.; EECS Department, University of Michigan
Conference: nips 2021 (main track)
Keywords: Normalization layers;BatchNorm;Unified framework
Decision: Poster
Title: Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
Authors: Derek Lim, Felix Hohne, Xiuyu Li, Sijia Linda Huang, Vaishnavi Gupta, Omkar Bhalerao, Ser Nam Lim
Affiliations: Facebook AI; Cornell University
Conference: nips 2021 (main track)
Keywords: graph neural network;homophily;graphs;datasets;benchmarks
Decision: Poster
Title: Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models
Authors: Hannah Rose Kirk, Yennie Jun, Filippo Volpin, Haider Iqbal, Elias Benussi, Frederic Dreyer, Aleksandar Shtedritski, Yuki Asano
Affiliations: Oxford Artiﬁcial Intelligence Society, University of Oxford
Conference: nips 2021 (main track)
Keywords: Natural language processing (NLP);generative language models;bias;GPT;occupations;intersections
Decision: Poster
Title: A first-order primal-dual method with adaptivity to local smoothness
Authors: Maria-Luiza Vladarean, Yura Malitsky, Volkan Cevher
Affiliations: Linköping University, Sweden; LIONS, École Polytechnique Fédérale de Lausanne, Switzerland
Conference: nips 2021 (main track)
Keywords: adaptive;primal-dual;convex-concave;composite optimization;local smoothness;local Lipschitz continuity
Decision: Poster
Title: Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery
Authors: Huaxiu Yao, Ying Wei, Long-Kai Huang, Ding Xue, Junzhou Huang, Zhenhui (Jessie) Li
Affiliations: Pennsylvania State University; City University of Hong Kong; University of Texas at Arlington; Stanford University; Tencent AI Lab
Conference: nips 2021 (main track)
Keywords: low-resource drug discovery;knowledge transfer;functional regions
Decision: Poster
Title: Unadversarial Examples: Designing Objects for Robust Vision
Authors: Hadi Salman, Andrew Ilyas, Logan Engstrom, Sai Vemprala, Aleksander Madry, Ashish Kapoor
Affiliations: MIT; Microsoft Research
Conference: nips 2021 (main track)
Keywords: adversarial robustness;adversarial examples;computer vision
Decision: Poster
Title: A Theoretical Analysis of Fine-tuning with Linear Teachers
Authors: Gal Shachaf, Alon Brutzkus, Amir Globerson
Affiliations: Blavatnik School of Computer Science, Tel Aviv University, Israel and Google Research; Blavatnik School of Computer Science, Tel Aviv University, Israel
Conference: nips 2021 (main track)
Keywords: deep learning theory;learning theory;transfer learning;fine-tuning
Decision: Poster
Title: Towards a Unified Information-Theoretic Framework for Generalization
Authors: Mahdi Haghifam, Gintare Karolina Dziugaite, Shay Moran, Dan Roy
Affiliations: Technion, Google Research; Mila, ServiceNow (work done while at ServiceNow), Google Brain; University of Toronto, Vector Institute
Conference: nips 2021 (main track)
Keywords: information-theoretic generalization;conditional mutual information;leave-one-out;sample compression schemes;SVM
Decision: Spotlight
Title: SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation
Authors: Abhinav Moudgil, Arjun Majumdar, Harsh Agrawal, Stefan Lee, Dhruv Batra
Affiliations: Oregon State University; Georgia Institute of Technology
Conference: nips 2021 (main track)
Keywords: Vision-and-Language Navigation;Multimodal Transformers
Decision: Poster
Title: HNPE: Leveraging Global Parameters for Neural Posterior Estimation
Authors: Pedro Luiz Coelho Rodrigues
Affiliations: Inria, CEA, Université Paris-Saclay, France; University of Liège, Belgium
Conference: nips 2021 (main track)
Keywords: Simulation-based Inference;Bayesian Inference;Hierarchical Models;Normalizing Flows;Computational Neuroscience;Approximate Inference
Decision: Poster
Title: M-FAC: Efficient Matrix-Free Approximations of Second-Order Information
Authors: Elias Frantar, Eldar Kurtic, Dan Alistarh
Affiliations: IST Austria & Neural Magic; IST Austria
Conference: nips 2021 (main track)
Keywords: second-order methods;Fisher information matrix;efficient numerical methods;sparsity;optimization;pruning;matrix-free algorithms
Decision: Poster
Title: Hangul Fonts Dataset: a Hierarchical and Compositional Dataset for Investigating Learned Representations
Affiliations: Biological Sciences and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA; Biological Sciences and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA; Redwood Center for Theoretical Neuroscience, University of California, Berkeley, CA; Biological Sciences and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA; Redwood Center for Theoretical Neuroscience, University of California, Berkeley, CA; Helen Wills Neuroscience Institute, University of California, Berkeley, CA; Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA; Mathematical, Computational and Systems Biology, University of California, Irvine, CA
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: hierarchy;composition;dataset;hangul;images
Decision: Reject
Title: MLP-Mixer: An all-MLP Architecture for Vision
Authors: Ilya Tolstikhin, Neil Houlsby, Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Thomas Unterthiner, Jessica Yung, Andreas Steiner, Daniel Keysers, Jakob Uszkoreit, Mario Lucic, Alexey Dosovitskiy
Affiliations: Google Research, Brain Team†; Google Research, Brain Team
Conference: nips 2021 (main track)
Keywords: computer vision;image recognition;large-scale training;multi-layer perceptrons;transfer learning
Decision: Poster
Title: Autonomous Reinforcement Learning via Subgoal Curricula
Authors: Archit Sharma, Abhishek Gupta, Sergey Levine, Karol Hausman, Chelsea Finn
Affiliations: UC Berkeley, Google Brain; Stanford University, Google Brain
Conference: nips 2021 (main track)
Keywords: reinforcement learning;curriculum;autonomous learning;reset-free reinforcement learning
Decision: Poster
Title: VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization
Authors: Mucong Ding, Kezhi Kong, Jingling Li, Chen Zhu, John Dickerson, Furong Huang, Tom Goldstein
Affiliations: Department of Computer Science, University of Maryland
Conference: nips 2021 (main track)
Keywords: Graph Neural Networks;Scalability;Vector Quantization
Decision: Poster
Title: Differentiable rendering with perturbed optimizers
Authors: Quentin Le Lidec, Ivan Laptev, Cordelia Schmid, Justin Carpentier
Affiliations: Inria - Département d’Informatique de l’École normale supérieure, PSL Research University
Conference: nips 2021 (main track)
Keywords: Differentiable rendering;Computer Vision;Optimization;Randomized smoothing
Decision: Poster
Title: Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
Authors: Feng Liu, Wenkai Xu, Jie Lu, Danica J. Sutherland
Affiliations: Gatsby Unit, UCL; UBC and Amii; Australian AI Institute, UTS
Conference: nips 2021 (main track)
Keywords: distinguishing distributions;statistical testing;meta-learning;deep kernel methods
Decision: Poster
Title: Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds
Authors: Antonios Antoniadis, Christian Coester, Marek Elias, Adam Polak, Bertrand Simon
Affiliations: Tel Aviv University, Tel Aviv, Israel; University of Twente, Enschede, The Netherlands; IN2P3 Computing Center, CNRS, Villeurbanne, France; Università Bocconi, Milan, Italy; EPFL, Lausanne, Switzerland
Conference: nips 2021 (main track)
Keywords: Learning-augmented algorithms;online algorithms;energy-efficient algorithms;power management;ski rental
Decision: Poster
Title: Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions
Authors: Huan Ma, Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
Affiliations: Institute of High Performance Computing, A*STAR, Singapore; College of Intelligence and Computing, Tianjin University, Tianjin, China
Conference: nips 2021 (main track)
Keywords: Multimodal Regression;Trustworthy;Uncertainty;Evidential
Decision: Poster
Title: Shape As Points: A Differentiable Poisson Solver
Authors: Songyou Peng, Chiyu Jiang, Yiyi Liao, Michael Niemeyer, Marc Pollefeys, Andreas Geiger
Affiliations: ETH Zurich, Max Planck Institute for Intelligent Systems, Tübingen; ETH Zurich, Microsoft; Max Planck Institute for Intelligent Systems, Tübingen, University of Tübingen; Work done while at UC Berkeley
Conference: nips 2021 (main track)
Keywords: Point Clouds;Shape Representation;3D Reconstruction;Poisson Equation;Implicit Representations;Differentiable
Decision: Oral
Title: Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm
Authors: Akash Kumar, Yuxin Chen, Adish Singla
Affiliations: University of Chicago; Max Planck Institute for Software Systems (MPI-SWS); Max Planck Institute for Software Systems (MPI-SWS), UC San Diego
Conference: nips 2021 (main track)
Keywords: teaching dimension;learning-with-equivalence-queries;best-case teacher;query complexity
Decision: Poster
Title: An analysis of Ermakov-Zolotukhin quadrature using kernels
Authors: Ayoub Belhadji
Affiliations: Univ Lyon, ENS de Lyon, Inria, CNRS, UCBL, LIP UMR 5668, Lyon, France
Conference: nips 2021 (main track)
Keywords: Determinantal point processes;quadrature;kernel;monte carlo;numerical integration
Decision: Poster
Title: Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent
Authors: Emmanouil-Vasileios Vlatakis-Gkaragkounis, Lampros Flokas, Georgios Piliouras
Affiliations: Singapore University of Technology & Design; Department of Computer Science, Columbia University, New York, NY 10025
Conference: nips 2021 (main track)
Keywords: Minmax Optimization;Nash Equilibrium;Convex;Von Neumann;Asymptotic Stability;Hidden Games
Decision: Poster
Title: CHIP: CHannel Independence-based Pruning for Compact Neural Networks
Authors: Yang Sui, Miao Yin, Yi Xie, Huy Phan, Saman Aliari Zonouz, Bo Yuan
Affiliations: Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ 08854, USA
Conference: nips 2021 (main track)
Keywords: model compression;pruning;filter pruning;channel pruning
Decision: Poster
Title: Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias
Authors: Sina Akbari, Ehsan Mokhtarian, AmirEmad Ghassami, Negar Kiyavash
Affiliations: Department of Computer Science, Johns Hopkins University, Baltimore, USA; Department of Computer and Communication Sciences, EPFL, Lausanne, Switzerland; College of Management of Technology, EPFL, Lausanne, Switzerland
Conference: nips 2021 (main track)
Keywords: Causal Discovery;Latent Discovery;Bayesian Network;Structure Learning;Latent Variables;Selection Bias;Removable Variable;Recursive Structure Learning
Decision: Poster
Title: Continual Auxiliary Task Learning
Authors: Matthew McLeod, Chunlok Lo, Matthew Schlegel, Andrew Jacobsen, Raksha Kumaraswamy, Martha White, Adam White
Affiliations: Department of Computing Science, University of Alberta, CIFAR Canada AI Chair, Alberta Machine Intelligence Institute (Amii); Department of Computing Science, University of Alberta
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning;Never-Ending Learning;Auxiliary Tasks;Intrinsic Motivation;Off-Policy Learning;Successor Features;General Value Functions
Decision: Poster
Title: Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks
Authors: Melih Barsbey, Milad Sefidgaran, Murat Erdogdu, Gaël Richard, Umut Simsekli
Affiliations: LTCI, Télécom Paris, Institut Polytechnique de Paris; INRIA & ENS – PSL Research University; University of Toronto & Vector Institute; Bo˘gaziçi University
Conference: nips 2021 (main track)
Keywords: heavy tails;stochastic gradient descent;deep learning;compression
Decision: Poster
Title: ReSSL: Relational Self-Supervised Learning with Weak Augmentation
Authors: Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu
Affiliations: University of Science and Technology of China; Department of Automation, Tsinghua University, Institute for Artiﬁcial Intelligence, Tsinghua University (THUAI), Beijing National Research Center for Information Science and Technology (BNRist); School of Computer Science, Faculty of Engineering, The University of Sydney; SenseTime Research
Conference: nips 2021 (main track)
Keywords: Self-Supervised Learning
Decision: Poster
Title: Evaluating Efficient Performance Estimators of Neural Architectures
Authors: Xuefei Ning, Changcheng Tang, Wenshuo Li, Zixuan Zhou, Shuang Liang, Huazhong Yang, Yu Wang
Affiliations: Novauto Technology Co. Ltd.; Department of Electronic Engineering, Tsinghua University
Conference: nips 2021 (main track)
Keywords: Neural architecture search (NAS);Parameter sharing;One-shot NAS;Zero-shot NAS
Decision: Poster
Title: Emergent Discrete Communication in Semantic Spaces
Authors: Mycal Tucker, Huao Li, Siddharth Agrawal, Dana Hughes, Katia Sycara, Michael Lewis, Julie A Shah
Affiliations: Massachusetts Institute of Technology; University of Pittsburgh; Carnegie Mellon University
Conference: nips 2021 (main track)
Keywords: Emergent communication;zero-shot understanding;reference games
Decision: Poster
Title: Conformal Prediction using Conditional Histograms
Authors: Matteo Sesia, Yaniv Romano
Affiliations: Departments of Electrical and Computer Engineering and of Computer Science, Technion, Israel; Department of Data Sciences and Operations, University of Southern California, USA
Conference: nips 2021 (main track)
Keywords: Conformal prediction;quantile regression;histograms;skewed data.
Decision: Spotlight
Title: Scalable and Stable Surrogates for Flexible Classifiers with Fairness Constraints
Authors: Henry C Bendekgey, Erik Sudderth
Affiliations: Department of Computer Science, University of California Irvine School of Information and Computer Science, Irvine, CA, USA
Conference: nips 2021 (main track)
Keywords: Fairness;Classification;Constrained Optimization
Decision: Poster
Title: Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction
Authors: Konstantin Schürholt, Dimche Kostadinov, Damian Borth
Affiliations: AIML Lab, School of Computer Science, University of St.Gallen
Conference: nips 2021 (main track)
Keywords: Representation Learning;Self-Supervised Learning;Weight Space;Parameter Space;Augmentation;Model Zoos
Decision: Poster