hunoutl/paperlists huggingface dataset:
Title: HiRID-ICU-Benchmark --- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data
Affiliations: Department of Computer Science, ETH Zürich; Department of Computer Science, ETH Zürich; Department of Intensive Care Medicine, University Hospital, and University of Bern
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Benchmark;Intensive Care Unit;Time Series;Patient Monitoring
Decision: Poster
Title: Learning Graph Models for Retrosynthesis Prediction
Authors: Vignesh Ram Somnath, Charlotte Bunne, Connor Coley, Andreas Krause, Regina Barzilay
Affiliations: Department of Chemical Engineering, MIT; Computer Science and Artificial Intelligence Lab, MIT; Department of Computer Science, ETH
Conference: nips 2021 (main track)
Keywords: Retrosynthesis;Graph-Neural Networks;Synthons;Computational Chemistry
Decision: Poster
Title: Loss function based second-order Jensen inequality and its application to particle variational inference
Authors: Futoshi Futami, Tomoharu Iwata, naonori ueda, Issei Sato, Masashi Sugiyama
Affiliations: NTT Communication Science Laboratories; The University of Tokyo
Conference: nips 2021 (main track)
Keywords: Variational inference;Bayesian inference;Jensen inequality
Decision: Poster
Title: Robust Implicit Networks via Non-Euclidean Contractions
Authors: Saber Jafarpour, Alexander Davydov, Anton Proskurnikov, Francesco Bullo
Affiliations: Center for Control, Dynamical Systems and Computation, University of California, Santa Barbara, 93106-5070, USA; Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy; Institute for Problems in Mechanical Engineering, Russian Academy of Sciences, St. Petersburg, Russia
Conference: nips 2021 (main track)
Keywords: Implicit deep learning;Contraction theory;Robust neural networks.
Decision: Poster
Title: Robust Visual Reasoning via Language Guided Neural Module Networks
Authors: Arjun Akula, Varun Jampani, Soravit Changpinyo, Song-Chun Zhu
Affiliations: UCLA Center for Vision, Cognition, Learning, and Autonomy; Beijing Institute for General Artiﬁcial Intelligence (BIGAI), Tsinghua University, Peking University; Google Research
Conference: nips 2021 (main track)
Keywords: Neural Module Networks;Adaptive Convolutions
Decision: Poster
Title: Temporal-attentive Covariance Pooling Networks for Video Recognition
Authors: Zilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu, Peihua Li
Affiliations: School of Information and Communication Engineering, Dalian University of Technology; College of Intelligence and Computing, Tianjin University
Conference: nips 2021 (main track)
Keywords: Video recogniton;Temporal covariance pooling;Temporal-based attention
Decision: Poster
Title: AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks
Authors: Alexandra Peste, Eugenia Iofinova, Adrian Vladu, Dan Alistarh
Affiliations: CNRS & IRIF; IST Austria & Neural Magic; IST Austria
Conference: nips 2021 (main track)
Keywords: model compression;deep neural network pruning;sparse training;dense/sparse co-training;iterative hard thresholding
Decision: Poster
Title: FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset
Affiliations: College of Computing and Informatics, Department of Applied Data Science, Department of Artificial Intelligence, Sungkyunkwan University, South Korea
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Audio-Video Deepfakes;Media Forensics;Multimodal dataset
Decision: Poster
Title: Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others
Authors: Kanishk Gandhi, Gala Stojnic, Brenden Lake, Moira R. Dillon
Affiliations: New York University
Conference: nips 2021 (main track)
Keywords: Cognitive Psychology;Common Sense;Reasoning;Cognitive Development;Intuitive Psychology
Decision: Poster
Title: Efficient Learning of Discrete-Continuous Computation Graphs
Authors: David Friede, Mathias Niepert
Affiliations: 1University of Mannheim, Mannheim, Germany; 1NEC Laboratories Europe, Heidelberg, Germany
Conference: nips 2021 (main track)
Keywords: Discrete-Continuous Learning;Stochastic Computation Graphs;Gumbel-softmax Trick
Decision: Poster
Title: Good Classification Measures and How to Find Them
Authors: Martijn Gösgens, Anton Zhiyanov, Aleksey Tikhonov, Liudmila Prokhorenkova
Affiliations: Yandex Research, HSE University, Moscow, Russia; Eindhoven University of Technology, Eindhoven, The Netherlands; Yandex, Berlin, Germany; Yandex Research, HSE University, MIPT, Moscow, Russia
Conference: nips 2021 (main track)
Keywords: classification;classification evaluation;performance measures;symmetric balanced accuracy;correlation coefficient
Decision: Poster
Title: MagNet: A Neural Network for Directed Graphs
Authors: Xitong Zhang, Yixuan He, Nathan Brugnone, Michael Perlmutter, Matthew Hirn
Affiliations: University of Oxford, Department of Statistics, Oxford, England, United Kingdom; University of California, Los Angeles, Department of Mathematics, Los Angeles, California, United States; Michigan State University, Department of Computational Mathematics, Science & Engineering, East Lansing, Michigan, United States; Michigan State University, Department of Community Sustainability, East Lansing, Michigan, United States; Michigan State University, Department of Mathematics, East Lansing, Michigan, United States
Conference: nips 2021 (main track)
Keywords: graph neural network;directed graph;magnetic Laplacian
Decision: Poster
Title: Task Agnostic and Task Specific Self-Supervised Learning from Speech with LeBenchmark
Affiliations: LIA, Avignon Université, France; Naver Labs Europe, France; ESPCI, CNRS LAMSADE, PSL Research University, France; Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LIG, 38000 Grenoble, France; Atos, Échirolles, France
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: French language;speech benchmark;ssl;self-supervised learning;asr;automatic speech recognition;slu;spoken language understanding;speech translation;speech-to-text;emotion recognition
Decision: Poster
Title: The balancing principle for parameter choice in distance-regularized domain adaptation
Authors: Werner Zellinger, Natalia Shepeleva, Marius-Constantin Dinu, Hamid Eghbal-zadeh, Hoan Duc Nguyen, Bernhard Nessler, Sergei Pereverzyev, Bernhard A. Moser
Affiliations: Johann Radon Institute for Computational and Applied Mathematics, Austrian Academy of Sciences; Institute of Computational Perception, Johannes Kepler University Linz; Institute for Machine Learning, Johannes Kepler University Linz; Software Competence Center Hagenberg GmbH
Conference: nips 2021 (main track)
Keywords: domain shift;unsupervised domain adaptation;model selection;regularization;inverse problem
Decision: Poster
Title: Online Matching in Sparse Random Graphs: Non-Asymptotic Performances of Greedy Algorithm
Authors: Nathan Noiry, Vianney Perchet, Flore Sentenac
Affiliations: T´el´ecom Paris, Palaiseau, France; CREST, ENSAE Paris, Palaiseau, France; CREST, ENSAE Paris, Palaiseau, France; CRITEO AI Lab, Paris, France
Conference: nips 2021 (main track)
Keywords: Online Matching;Random Graphs;Stochastic Approximation;Differential Equation Method
Decision: Poster
Title: On the Power of Differentiable Learning versus PAC and SQ Learning
Authors: Emmanuel Abbe, Pritish Kamath, Eran Malach, Colin Sandon, Nathan Srebro
Affiliations: MIT; TTIC; HUJI; EPFL; Google Research
Conference: nips 2021 (main track)
Keywords: Differentiable Learning;PAC Learning;Statistical Query Learning;mini-batch SGD
Decision: Spotlight
Title: Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters
Authors: Takanori Maehara, Hoang NT
Affiliations: Tokyo Tech & RIKEN AIP, Tokyo, Japan; Facebook AI, London, United Kingdom
Conference: nips 2021 (main track)
Keywords: graph parameters;Benjamini-Schramm convergence;random sampling;graph learning theory;graph classification;GNN
Decision: Poster
Title: Optimizing Conditional Value-At-Risk of Black-Box Functions
Authors: Quoc Phong Nguyen, Zhongxiang Dai, Bryan Kian Hsiang Low, Patrick Jaillet
Affiliations: Dept. of Computer Science, National University of Singapore, Republic of Singapore; Dept. of Electrical Engineering and Computer Science, MIT, USA
Conference: nips 2021 (main track)
Keywords: Bayesian optimization;conditional value-at-risk;CVaR;UCB;Thompson sampling
Decision: Poster
Title: Learning Disentangled Behavior Embeddings
Authors: Changhao Shi, Sivan Schwartz, Shahar Levy, Shay Achvat, Maisan Abboud, Amir Ghanayim, Jackie Schiller, Gal Mishne
Affiliations: Technion - Israel Institute of Technology; University of California, San Diego
Conference: nips 2021 (main track)
Keywords: Neuroscience;Animal Behavior;Behavioral Videos;Generative Models
Decision: Spotlight
Title: Accurate Point Cloud Registration with Robust Optimal Transport
Authors: Zhengyang Shen, Jean Feydy, Peirong Liu, Ariel H Curiale, Ruben San Jose Estepar, Raul San Jose Estepar, Marc Niethammer
Affiliations: UNC Chapel Hill; Harvard Medical School; Imperial College London
Conference: nips 2021 (main track)
Keywords: optimal transport;point cloud registration;feature matching;deep learning
Decision: Poster
Title: Automorphic Equivalence-aware Graph Neural Network
Authors: Fengli Xu, Quanming Yao, Pan Hui, Yong Li
Affiliations: 4Paradigm Inc.; CSE Department, HKUST; BNRIST & EE Department, Tsinghua University
Conference: nips 2021 (main track)
Keywords: graph neural network;automorphic equivalence;structural role;graph analysis
Decision: Poster
Title: Meta-Learning Sparse Implicit Neural Representations
Authors: Jaeho Lee, Jihoon Tack, Namhoon Lee, Jinwoo Shin
Affiliations: School of Electrical Engineering, KAIST; Graduate School of Artiﬁcial Intelligence, UNIST; Kim Jaechul Graduate School of AI, KAIST
Conference: nips 2021 (main track)
Keywords: network pruning;implicit neural representation;coordinate-based representations;data compression
Decision: Poster
Title: MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers
Authors: Krishna Pillutla
Affiliations: Allen Institute for Artiﬁcial Intelligence; Paul G. Allen School of Computer Science & Engineering, University of Washington; Department of Computer Science, Stanford University; Department of Statistics, University of Washington
Conference: nips 2021 (main track)
Keywords: Open-ended generation;neural text generation;evaluation;divergence frontier;human judgement
Decision: Oral
Title: Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks
Authors: Avi Schwarzschild, Eitan Borgnia, Arjun Gupta, Furong Huang, Uzi Vishkin, Micah Goldblum, Tom Goldstein
Affiliations: Department of Robotics, University of Maryland, College Park, MD, USA; Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, USA; Department of Computer Science, University of Maryland, College Park, MD, USA; Department of Mathematics, University of Maryland, College Park, MD, USA
Conference: nips 2021 (main track)
Keywords: Deep learning;algorithms;generalization;recurrent networks;prefix sums;mazes;chess
Decision: Poster
Title: ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs
Authors: Zhanqiu Zhang, Jie Wang, Jiajun Chen, Shuiwang Ji, Feng Wu
Affiliations: CAS Key Laboratory of Technology in GIPAS, University of Science and Technology of China; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center; Texas A&M University
Conference: nips 2021 (main track)
Keywords: Query Embeddings;Knowledge Graphs;Multi-hop Reasoning;Question Answering
Decision: Poster
Title: On Empirical Risk Minimization with Dependent and Heavy-Tailed Data
Authors: Abhishek Roy, Krishnakumar Balasubramanian, Murat Erdogdu
Affiliations: Department of Statistics, University of California, Davis; Department of Computer Science and Department of Statistical Sciences at the University of Toronto, and Vector Institute
Conference: nips 2021 (main track)
Keywords: non-iid learning;risk bounds;empirical risk minimization;concentration inequalities;small-ball method
Decision: Poster
Title: Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark
Authors: Stefan O'Toole, Nir Lipovetzky, Miquel Ramirez, Adrian Pearce
Affiliations: Computing and Information Systems, University of Melbourne, Australia; Electrical and Electronic Engineering, University of Melbourne, Australia
Conference: nips 2021 (main track)
Keywords: width based planning;planning and learning;online planning;atari;planning over simulators
Decision: Spotlight
Title: Improving Transferability of Representations via Augmentation-Aware Self-Supervision
Authors: Hankook Lee, Kibok Lee, Kimin Lee, Honglak Lee, Jinwoo Shin
Affiliations: Amazon Web Services; LG AI Research; University of Michigan; Korea Advanced Institute of Science and Technology (KAIST)
Conference: nips 2021 (main track)
Keywords: transfer learning;self-supervision;self-supervised learning;contrastive learning;data augmentation
Decision: Poster
Title: Task-Adaptive Neural Network Search with Meta-Contrastive Learning
Authors: Wonyong Jeong, Hayeon Lee, Geon Park, Eunyoung Hyung, Jinheon Baek, Sung Ju Hwang
Affiliations: KAIST1, AITRICS2, Seoul, South Korea; KAIST1, Seoul, South Korea
Conference: nips 2021 (main track)
Keywords: AutoML;Meta-Learning;Transfer Learning
Decision: Spotlight
Title: A Highly-Efficient Group Elastic Net Algorithm with an Application to Function-On-Scalar Regression
Authors: Tobia Boschi, Matthew Reimherr, Francesca Chiaromonte
Affiliations: Department of Statistics, Penn State University; Department of Statistics, Penn State University, EMbeDS, Sant’Anna School of Advanced Studies
Conference: nips 2021 (main track)
Keywords: Feature selection;Group Elastic Net;Function-on-Scalar regression;Functional Principal Components;Augmented Lagrangian;GWAS
Decision: Poster
Title: Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time
Authors: Anshul Nasery, Soumyadeep Thakur, Vihari Piratla, Abir De, Sunita Sarawagi
Affiliations: Department of Computer Science, Indian Institute of Technology, Bombay
Conference: nips 2021 (main track)
Keywords: continuous domain generalization;time-evolving classifiers;gradient interpolation
Decision: Poster
Title: Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks
Authors: Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
Conference: nips 2021 (main track)
Keywords: Sparse Neural Network;Network Pruning;Optimization;Theoretical Analysis;Generalization Guarantee;Sample Complexity Analysis;Lottery Ticket Hypothesis
Decision: Poster
Title: Sequential Algorithms for Testing Closeness of Distributions
Authors: Aadil Oufkir, Omar Fawzi, Nicolas Flammarion, Aurélien Garivier
Affiliations: Univ Lyon, ENS Lyon, UCBL; CNRS, Inria, LIP, F-69342 Lyon Cedex 07, France; UMPA UMR 5669 and LIP UMR 5668 CNRS, ENS de Lyon, UCB Lyon 1, Lyon, France; LIP UMR 5668 CNRS, ENS de Lyon, UCB Lyon 1, Lyon, France; EPFL, Lausanne, Switzerland
Conference: nips 2021 (main track)
Keywords: Distribution testing;property testing;sequential algorithms
Decision: Spotlight
Title: TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness
Authors: Zhuolin Yang, Linyi Li, Xiaojun Xu, Shiliang Zuo, Qian Chen, Pan Zhou, Benjamin Rubinstein, Ce Zhang, Bo Li
Affiliations: University of Illinois Urbana-Champaign; Tencent Inc.; University of Melbourne; Huazhong University of Science and Technology; ETH Zurich
Conference: nips 2021 (main track)
Keywords: robustness;ensemble;adversarial transferability;diversity
Decision: Poster
Title: Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration
Authors: Yu Wang, Jingyang Lin, Jingjing Zou, Yingwei Pan, Ting Yao, Tao Mei
Affiliations: University of California, San Diego, USA; JD AI Research, Beijing, China; Sun Yat-sen University, Guangzhou, China
Conference: nips 2021 (main track)
Keywords: Contrastive Learning;Self-supervised Learning;Unsupervised Learning
Decision: Poster
Title: UniDoc: Unified Pretraining Framework for Document Understanding
Authors: Jiuxiang Gu, Jason Kuen, Vlad I Morariu, Handong Zhao, Rajiv Jain, Nikolaos Barmpalios, Ani Nenkova, Tong Sun
Affiliations: Adobe Document Cloud; Adobe Research
Conference: nips 2021 (main track)
Keywords: BERT;Self-Supervised Learning;Document Understanding
Decision: Poster
Title: Fast Abductive Learning by Similarity-based Consistency Optimization
Authors: Yu-Xuan Huang, Wang-Zhou Dai, Le-Wen Cai, Stephen H Muggleton, Yuan Jiang
Affiliations: National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China; Department of Computing, Imperial College London, London SW7 2AZ, UK
Conference: nips 2021 (main track)
Keywords: abductive learning;abduction;symbolic learning;neuro-symbolic learning
Decision: Poster
Title: iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder
Authors: Shifeng Zhang, Ning Kang, Tom Ryder, Zhenguo Li
Affiliations: Huawei Noah’s Ark Lab
Conference: nips 2021 (main track)
Keywords: lossless compression;flow model;entropy coder;deep generative model
Decision: Spotlight
Title: Learning-to-learn non-convex piecewise-Lipschitz functions
Authors: Maria-Florina Balcan, Mikhail Khodak, Dravyansh Sharma, Ameet Talwalkar
Affiliations: Carnegie Mellon University & Hewlett Packard Enterprise; Carnegie Mellon University
Conference: nips 2021 (main track)
Keywords: meta-learning;data-driven algorithm design;robustness;online learning;nonconvex optimization
Decision: Poster
Title: Systematic Generalization with Edge Transformers
Authors: Leon Bergen, Timothy O'Donnell, Dzmitry Bahdanau
Affiliations: McGill University, Quebec Artificial Intelligence Institute (Mila), Canada CIFAR AI Chair; Element AI, a ServiceNow company, McGill University, Quebec Artificial Intelligence Institute (Mila), Canada CIFAR AI Chair; University of California, San Diego
Conference: nips 2021 (main track)
Keywords: systematic generalization;transformer;semantic parsing;language understanding
Decision: Poster
Title: Label-Imbalanced and Group-Sensitive Classification under Overparameterization
Authors: Ganesh Ramachandra Kini, Orestis Paraskevas, Samet Oymak, Christos Thrampoulidis
Affiliations: University of California, Riverside; University of California, Santa Barbara; University of British Columbia
Conference: nips 2021 (main track)
Keywords: fairness;overparameterization;cost-sensitive methods
Decision: Poster
Title: Learning to dehaze with polarization
Authors: Chu Zhou, Minggui Teng, Yufei Han, Chao Xu, Boxin Shi
Affiliations: Nat’l Eng. Lab for Video Technology, School of Computer Science, Peking University; Nat’l Eng. Lab for Video Technology, School of Computer Science, Peking University; Institute for Artiﬁcial Intelligence, Peking University; Beijing Academy of Artiﬁcial Intelligence; Key Lab of Machine Perception (MOE), Dept. of Machine Intelligence, Peking University; Dept. of Machine Intelligence, Peking University; School of Info. and comm. Eng., Beijing University of Posts and Telecommunications
Conference: nips 2021 (main track)
Keywords: Computational photography;polarization-based image dehazing
Decision: Poster
Title: Deep Learning on a Data Diet: Finding Important Examples Early in Training
Authors: Mansheej Paul, Surya Ganguli, Gintare Karolina Dziugaite
Affiliations: Stanford University; Stanford University; Facebook AI Research; Mila⇤
Conference: nips 2021 (main track)
Keywords: data pruning;neural network training dynamics;understanding deep learning;data compression;coresets
Decision: Poster
Title: What Makes Multi-Modal Learning Better than Single (Provably)
Authors: Yu Huang, Chenzhuang Du, Zihui Xue, Xuanyao Chen, Hang Zhao, Longbo Huang
Affiliations: Shanghai Qi Zhi Institute; Institute for Interdisciplinary Information Sciences, Tsinghua University; The University of Texas at Austin; Fudan University
Conference: nips 2021 (main track)
Keywords: Multi-modal learning theory
Decision: Poster
Title: Learning Fast-Inference Bayesian Networks
Authors: Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider
Affiliations: Algorithms and Complexity Group, TU Wien, Vienna, Austria
Conference: nips 2021 (main track)
Keywords: Bayesian Network Structure Learning;Exact Probabilistic Reasoning;MaxSAT;Propositional Satisfiability
Decision: Poster
Title: PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition
Authors: Cheng-I Jeff Lai, Yang Zhang, Alexander Liu, Shiyu Chang, Yi-Lun Liao, Yung-Sung Chuang, Kaizhi Qian, Sameer Khurana, David Cox, Jim Glass
Affiliations: MIT CSAIL; MIT-IBM Watson AI Lab; National Taiwan University
Conference: nips 2021 (main track)
Keywords: Speech Recognition;Self-Supervised Learning;Lottery Ticket Hypothesis;Pruning
Decision: Spotlight
Title: Communication-efficient SGD: From Local SGD to One-Shot Averaging
Authors: Artin Spiridonoff, Alex Olshevsky, Yannis Paschalidis
Affiliations: Division of Systems Engineering, Boston University, Boston, MA 02215
Conference: nips 2021 (main track)
Keywords: Local SGD;Convex Optimization;Stochastic Gradient Descent;Speed-up
Decision: Poster
Title: Robust Counterfactual Explanations on Graph Neural Networks
Authors: Mohit Bajaj, Lingyang Chu, Zi Yu Xue, Jian Pei, Lanjun Wang, Peter Cho-Ho Lam, Yong Zhang
Affiliations: Huawei Technologies Canada Co., Ltd.; Simon Fraser University; McMaster University
Conference: nips 2021 (main track)
Keywords: Counterfactual;explanations;GNN;robust;graph neural networks;interpretation;explainable AI;decision logic
Decision: Poster
Title: An Empirical Study of Graph Contrastive Learning
Affiliations: School of Computer Science, Beijing University of Posts and Telecommunications; Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences; School of Artificial Intelligence, University of Chinese Academy of Sciences
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Graph contrastive learning;self-supervised learning;graph neural networks
Decision: Poster
Title: Neural Trees for Learning on Graphs
Authors: Rajat Talak, Siyi Hu, Lisa Peng, Luca Carlone
Affiliations: Laboratory of Information and Decision Systems (LIDS), Massachusetts Institute of Technology
Conference: nips 2021 (main track)
Keywords: graph neural networks;geometric deep learning;universal function approximation;tree-decomposition;semi-supervised node classification;3D scene graphs
Decision: Poster
Title: Deep Molecular Representation Learning via Fusing Physical and Chemical Information
Authors: shuwen yang, Ziyao Li, Guojie Song, Lingsheng Cai
Affiliations: Key Laboratory of Machine Perception and Intelligence (MOE), Peking University, Beijing, China; Center for Data Science, Peking University, Beijing, China
Conference: nips 2021 (main track)
Keywords: molecular representation;molecular fingerprints;neural molecular dynamics;graph neural networks
Decision: Poster
Title: Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces
Authors: Kirill Struminsky, Artyom Gadetsky, Denis Rakitin, Danil Karpushkin, Dmitry Vetrov
Affiliations: HSE University, Moscow, Russia; HSE University, Skoltech, Moscow, Russia; AIRI, Sber AI Lab, MIPT, Moscow, Russia; HSE University, AIRI, Moscow, Russia
Conference: nips 2021 (main track)
Keywords: structured discrete latent variable;gumbel-max trick;perturb-and-map;gradient estimation;score function
Decision: Poster
Title: Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning
Authors: Milad Abdollahzadeh, Touba Malekzadeh, Ngai-Man (Man) Cheung
Affiliations: Singapore University of Technology and Design
Conference: nips 2021 (main track)
Keywords: Meta-Learning;Few-Shot Learning;Multi-Task Learning;Transference Analysis
Decision: Poster
Title: NAS-Bench-x11 and the Power of Learning Curves
Authors: Shen Yan, Colin White, Yash Savani, Frank Hutter
Affiliations: Michigan State University; Carnegie Mellon University; University of Freiburg, Bosch Center for Artiﬁcial Intelligence; Abacus.AI
Conference: nips 2021 (main track)
Keywords: neural architecture search
Decision: Poster