hunoutl/paperlists huggingface dataset:
Title: MAP Propagation Algorithm: Faster Learning with a Team of Reinforcement Learning Agents
Authors: Stephen Chung
Affiliations: Department of Computer Science, University of Massachusetts Amherst, Amherst, MA 01003
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning;Hierarchical Reinforcement Learning;Multi-agent Reinforcement Learning;Coagent Network;Backpropagation
Decision: Poster
Title: Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning
Authors: Maxwell Nye, Michael Tessler, Josh Tenenbaum, Brenden Lake
Affiliations: MIT; NYU, Facebook AI Research
Conference: nips 2021 (main track)
Keywords: System 2;cognitive science;dual-system;coherence;consistency;dual-process
Decision: Poster
Title: PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators
Authors: Anish Agarwal, Abdullah Alomar, Varkey Alumootil, Devavrat Shah, Dennis Shen, Zhi Xu, Cindy Yang
Affiliations: MIT
Conference: nips 2021 (main track)
Keywords: Deep Reinforcement Learning;Offline Reinforcement Learning;Model-based Reinforcement Learning
Decision: Poster
Title: Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics
Authors: Bhavin Choksi, Milad Mozafari, Callum Biggs O'May, B. ADOR, Andrea Alamia, Rufin VanRullen
Affiliations: CerCo CNRS, UMR 5549; CerCo CNRS, UMR 5549 & IRIT CNRS, UMR 5505; CerCo CNRS, UMR 5549 & Université de Toulouse; CerCo CNRS, UMR 5549 & ANITI, Université de Toulouse
Conference: nips 2021 (main track)
Keywords: predictive coding;neuroscience;deep learning;robustness;noisy image classification;python package
Decision: Poster
Title: Unsupervised Motion Representation Learning with Capsule Autoencoders
Authors: Ziwei Xu, Xudong Shen, Yongkang Wong, Mohan Kankanhalli
Affiliations: School of Computing, National University of Singapore; NUS Graduate School, National University of Singapore
Conference: nips 2021 (main track)
Keywords: Capsule Network;motion representation;skeleton-based action recognition
Decision: Poster
Title: Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes
Authors: Sara Sangalli, Ertunc Erdil, Andeas Hötker, Olivio Donati, Ender Konukoglu
Affiliations: Institute for Diagnostic and Interventional Radiology, Universitätsspital Zürich; Computer Vision Lab, ETH Zürich
Conference: nips 2021 (main track)
Keywords: Constrained optimization;class imbalance;augmented Lagrangian method
Decision: Poster
Title: Property-Aware Relation Networks for Few-Shot Molecular Property Prediction
Authors: Yaqing Wang, Abulikemu Abuduweili, Quanming Yao, Dejing Dou
Affiliations: Baidu Research, Baidu Inc., China and The Robotics Institute, Carnegie Mellon University, USA; Department of EE, Tsinghua University, China; Baidu Research, Baidu Inc., China
Conference: nips 2021 (main track)
Keywords: molecular property prediction;few-shot learning;meta-learning
Decision: Spotlight
Title: How Well do Feature Visualizations Support Causal Understanding of CNN Activations?
Authors: Roland S. Zimmermann, Judy Borowski, Robert Geirhos, Matthias Bethge, Thomas Wallis, Wieland Brendel
Affiliations: Institute of Psychology and Centre for Cognitive Science, Technical University of Darmstadt, Germany.; Tübingen AI Center, University of Tübingen, Germany.
Conference: nips 2021 (main track)
Keywords: evaluation of interpretability;feature visualization;activation maximization;human psychophysics;understanding CNNs;explanation method;counterfactual;causal understanding
Decision: Spotlight
Title: Learning 3D Dense Correspondence via Canonical Point Autoencoder
Authors: An-Chieh Cheng, Xueting Li, Min Sun, Ming-Hsuan Yang, Sifei Liu
Affiliations: National Tsing-Hua University; University of California, Merced; Joint Research Center for AI Technology and All Vista Healthcare; NVIDIA; Google Research, Yonsei University
Conference: nips 2021 (main track)
Keywords: 3D dense correspondence;point autoencoder
Decision: Poster
Title: Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning
Authors: Hiroki Furuta, Tadashi Kozuno, Tatsuya Matsushima, Yutaka Matsuo, Shixiang (Shane) Gu
Affiliations: The University of Tokyo; University of Alberta; Google Research
Conference: nips 2021 (main track)
Keywords: Control as Inference;Inference-based Reinforcement Learning;Off-Policy;Deep Reinforcement Learning
Decision: Poster
Title: A Unified Approach to Fair Online Learning via Blackwell Approachability
Authors: Evgenii Chzhen, Christophe Giraud, Gilles Stoltz
Affiliations: Université Paris-Saclay, CNRS, Laboratoire de mathématiques d’Orsay, 91405, Orsay, France
Conference: nips 2021 (main track)
Keywords: online learning;fairness;Blackwell approachability;calibration
Decision: Spotlight
Title: Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks
Authors: Itay Hubara, Brian Chmiel, Moshe Island, Ron Banner, Joseph Naor, Daniel Soudry
Affiliations: Habana Labs – An Intel company, Caesarea, Israel; Computer Science Department - Technion, Haifa, Israel; Electrical and Computer Engineering Department - Technion, Haifa, Israel
Conference: nips 2021 (main track)
Keywords: Efficient Deep Learning;Compression;Prunning
Decision: Poster
Title: Coupled Segmentation and Edge Learning via Dynamic Graph Propagation
Authors: Zhiding Yu, Rui Huang, Wonmin Byeon, Sifei Liu, Guilin Liu, Thomas Breuel, Anima Anandkumar, Jan Kautz
Affiliations: NVIDIA
Conference: nips 2021 (main track)
Keywords: Semantic Segmentation;Semantic Edge Detection;Structured Prediction;Propagation Network
Decision: Poster
Title: Robustness of Graph Neural Networks at Scale
Authors: Simon Geisler, Tobias Schmidt, Hakan Şirin, Daniel Zügner, Aleksandar Bojchevski, Stephan Günnemann
Affiliations: Department of Informatics, Technical University of Munich
Conference: nips 2021 (main track)
Keywords: Adversarial Robustness;Graph Neural Networks;Scalability;Adversarial Defenses;Adversarial Attacks
Decision: Poster
Title: Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation
Authors: Yufei Wang, Can Xu, Huang Hu, Chongyang Tao, Stephen Wan, Mark Dras, Mark Johnson, Daxin Jiang
Affiliations: CSIRO Data61, Sydney, Australia; Microsoft Corporation, Beijing, China; Macquarie University, Sydney, Australia
Conference: nips 2021 (main track)
Keywords: Sequence-to-Sequence Text Generation;Rule Execution Tracking;Pre-trained Transformer-based Language Models
Decision: Poster
Title: Efficient constrained sampling via the mirror-Langevin algorithm
Authors: Kwangjun Ahn, Sinho Chewi
Affiliations: Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139; Department of EECS, Massachusetts Institute of Technology, Cambridge, MA 02139
Conference: nips 2021 (main track)
Keywords: Langevin MCMC;Sampling;Optimization;mirror-Langevin
Decision: Poster
Title: On the Sample Complexity of Learning under Geometric Stability
Authors: Alberto Bietti, Luca Venturi, Joan Bruna
Affiliations: Center for Data Science, New York University; Center for Data Science and Courant Institute for Mathematical Sciences, New York University; Courant Institute for Mathematical Sciences, New York University
Conference: nips 2021 (main track)
Keywords: invariance;learning theory;approximation;kernels
Decision: Poster
Title: Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
Authors: Ho Kei Cheng, Yu-Wing Tai, Chi-Keung Tang
Affiliations: University of Illinois Urbana-Champaign; The Hong Kong University of Science and Technology; Kuaishou Technology
Conference: nips 2021 (main track)
Keywords: Video Object Segmentation;Space-Time Networks;Memory Networks
Decision: Poster
Title: Smooth Bilevel Programming for Sparse Regularization
Authors: Clarice Poon, Gabriel Peyré
Affiliations: Department of mathematical sciences, University of Bath, Bath BA2 7AY, UK; CNRS and DMA, Ecole Normale Supérieure, PSL University, 45 rue d’Ulm, F-75230 PARIS cedex 05, FRANCE
Conference: nips 2021 (main track)
Keywords: Sparse regularisation;Lasso;Basis pursuit;iterative reweighted least squares;bilevel
Decision: Poster
Title: Parameter Prediction for Unseen Deep Architectures
Authors: Boris Knyazev, Michal Drozdzal, Graham Taylor, Adriana Romero Soriano
Affiliations: Facebook AI Research; University of Guelph, Vector Institute for Artiﬁcial Intelligence; Facebook AI Research, McGill University; University of Guelph, Vector Institute for Artiﬁcial Intelligence, Canada CIFAR AI Chair
Conference: nips 2021 (main track)
Keywords: parameter prediction;hypernetworks;graph networks;computational graphs;optimization;meta-learning;deep networks
Decision: Poster
Title: Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective
Authors: Zhengzhuo Xu, Zenghao Chai, Chun Yuan
Affiliations: Shenzhen International Graduate School, Tsinghua University; Shenzhen International Graduate School, Tsinghua University; Peng Cheng Laboratory
Conference: nips 2021 (main track)
Keywords: visual recognition;data imbalance;mixup;long tail
Decision: Poster
Title: SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning
Authors: Talip Ucar, Ehsan Hajiramezanali, Lindsay Edwards
Affiliations: Respiratory and Immunology, R&D, AstraZeneca
Conference: nips 2021 (main track)
Keywords: representation learning;self-supervised learning;contrastive learning;tabular data;multi-view learning
Decision: Poster
Title: Human-Adversarial Visual Question Answering
Authors: Sasha Sheng, Amanpreet Singh, Vedanuj Goswami, Jose Magana, Tristan Thrush, Wojciech Galuba, Devi Parikh, Douwe Kiela
Affiliations: Facebook AI Research; Tecnológico de Monterrey; Facebook AI Research, Georgia Tech
Conference: nips 2021 (main track)
Keywords: vqa;visual question answering;adversarial evaluation;model in the loop
Decision: Poster
Title: Iterative Amortized Policy Optimization
Authors: Joseph Marino, Alexandre Piche, Alessandro Davide Ialongo, Yisong Yue
Affiliations: Mila, Université de Montréal; California Institute of Technology, Now at DeepMind, London, UK; University of Cambridge; California Institute of Technology
Conference: nips 2021 (main track)
Keywords: Amortization;Variational Inference;Reinforcement Learning
Decision: Poster
Title: Word2Fun: Modelling Words as Functions for Diachronic Word Representation
Authors: Benyou Wang, Emanuele Di Buccio, Massimo Melucci
Affiliations: Department of Statistical Sciences, University of Padova, Padova, Italy; Department of Information Engineering, University of Padova, Padova, Italy
Conference: nips 2021 (main track)
Keywords: Diachronic Word Representation;word vectors;Temporal Analogy;embedding
Decision: Poster
Title: GrowSpace: Learning How to Shape Plants
Affiliations: McGill University, Mila; Johannes Kepler Universität Linz; McGill University; Université Laval, Mila; Université de Montréal, Mila, Element AI
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Reinforcement Learning;Benchmark;Control;Hierarchical learning;Fairness;Multi-Objective Learning
Decision: Reject
Title: Fair Sequential Selection Using Supervised Learning Models
Authors: Mahdi Khalili, Xueru Zhang, Mahed Abroshan
Affiliations: Alan Turing Institute, London, UK; CSE Department, Ohio State University, Columbus, OH, USA; CIS Department, University of Delaware, Newark, DE, USA
Conference: nips 2021 (main track)
Keywords: Supervised Learning;Fairness;Sequential Selection
Decision: Poster
Title: Learning with Algorithmic Supervision via Continuous Relaxations
Authors: Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
Affiliations: University of Salzburg; University of Konstanz; University of Frankfurt, MIT-IBM Watson AI Lab
Conference: nips 2021 (main track)
Keywords: differentiable algorithms;algorithmic supervision;continuous relaxation;weakly supervised;perturbed;smooth;sorting;differentiable rendering
Decision: Poster
Title: Graphical Models in Heavy-Tailed Markets
Authors: José Vinícius de Miranda Cardoso, Jiaxi Ying, Daniel Palomar
Affiliations: Department of Industrial Engineering and Decision Analytics, The Hong Kong University of Science and Technology; Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology
Conference: nips 2021 (main track)
Keywords: graphs;financial markets;precision matrix;Laplacian
Decision: Poster
Title: Machine Learning for Variance Reduction in Online Experiments
Authors: Yongyi Guo, Dominic Coey, Mikael Konutgan, Wenting Li, Chris Schoener, Matt Goldman
Affiliations: Facebook, 1 Hacker Way, Menlo Park, CA 94025; Department of Operations Research and Financial Engineering, Princeton University, Princeton, NJ 08544
Conference: nips 2021 (main track)
Keywords: experimentation;variance reduction;agnostic statistics;debiased machine learning;semiparametrics;experiment splitting
Decision: Poster
Title: The Utility of Explainable AI in Ad Hoc Human-Machine Teaming
Authors: Rohan Paleja, Muyleng Ghuy, Nadun Ranawaka Arachchige, Reed Jensen, Matthew Gombolay
Affiliations: Georgia Institute of Technology; MIT Lincoln Laboratory
Conference: nips 2021 (main track)
Keywords: Explainable AI;Human-Machine Teaming;Situational Awareness;Ad Hoc Teaming
Decision: Poster
Title: CorticalFlow: A Diffeomorphic Mesh Transformer Network for Cortical Surface Reconstruction
Authors: Leo Lebrat, Rodrigo Santa Cruz, Frederic de Gournay, Darren Fu, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado
Affiliations: CSIRO; CSIRO, Data61; IMT - UMR5219; UQ; QUT; CSIRO, QUT
Conference: nips 2021 (main track)
Keywords: 3D Deep Learning;Geometric Deep Learning;Regular Surface Recosntruction;Cortical Surface Reconstruction
Decision: Poster
Title: 3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds
Authors: Le Hui, Lingpeng Wang, Mingmei Cheng, Jin Xie, Jian Yang
Affiliations: PCA Lab, Nanjing University of Science and Technology, China
Conference: nips 2021 (main track)
Keywords: 3D Point Cloud;3D Single Object Tracking
Decision: Poster
Title: Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy to Game
Authors: Alexander Reisach, Christof Seiler, Sebastian Weichwald
Affiliations: Department of Mathematical Sciences, University of Copenhagen, Denmark; Department of Data Science and Knowledge Engineering, Maastricht University, The Netherlands
Conference: nips 2021 (main track)
Keywords: Causality;Directed Acyclic Graphs;Structure Learning;Continuous Optimization
Decision: Poster
Title: POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples
Authors: Duong Le, Khoi Duc Nguyen, Khoi Nguyen, Quoc-Huy Tran, Rang Nguyen, Binh-Son Hua
Affiliations: VinAI Research & VinUniversity; VinAI Research; Retrocausal, Inc.
Conference: nips 2021 (main track)
Keywords: few-shot learning
Decision: Poster
Title: Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks
Authors: Shibo Li, Robert Kirby, Shandian Zhe
Affiliations: School of Computing, University of Utah
Conference: nips 2021 (main track)
Keywords: Multi-fidelity Bayesian Optimization;Batch Acquisition Function;Full Auto-Regressive Modeling;Multi-fidelity Max-value Entropy Search
Decision: Poster
Title: A Constant Approximation Algorithm for Sequential Random-Order No-Substitution k-Median Clustering
Authors: Tom Hess, Michal Moshkovitz, Sivan Sabato
Affiliations: Department of Computer Science, Ben-Gurion University of the Negev, Beer-Sheva, Israel; Department of Computer Science, Tel-Aviv University, Tel Aviv, Israel∗
Conference: nips 2021 (main track)
Keywords: k-median clustering;constant approximation;sequential algorithms
Decision: Poster
Title: Leveraging SE(3) Equivariance for Self-supervised Category-Level Object Pose Estimation from Point Clouds
Authors: Xiaolong Li, Yijia Weng, Li Yi, Leonidas Guibas, A. Abbott, Shuran Song, He Wang
Affiliations: Columbia University; Peking University; Virginia Tech; Tsinghua University; Stanford University
Conference: nips 2021 (main track)
Keywords: 6D Pose;self-supervision;SE(3) equivariance;3D point cloud;category-level;real data;shape reconstruction
Decision: Poster
Title: Neural Additive Models: Interpretable Machine Learning with Neural Nets
Authors: Rishabh Agarwal, Levi Melnick, Nicholas Frosst, Xuezhou Zhang, Ben Lengerich, Rich Caruana, Geoffrey Hinton
Affiliations: University of Wisconsin-Madison; MIT; Cohere; Google Research, Brain Team; Microsoft Research
Conference: nips 2021 (main track)
Keywords: Additive Models;Interpretability;Multitask learning;Explainable AI
Decision: Spotlight
Title: Robust Compressed Sensing MRI with Deep Generative Priors
Authors: Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alex Dimakis, Jon Tamir
Affiliations: ECE, UT Austin; CS, UT Austin
Conference: nips 2021 (main track)
Keywords: Compressed sensing;generative priors;MRI reconstruction;Langevin dynamics;Inverse problems
Decision: Poster
Title: Bridging Explicit and Implicit Deep Generative Models via Neural Stein Estimators
Authors: Qitian Wu, Rui Gao, Hongyuan Zha
Affiliations: University of Texas at Austin; Department of Computer Science and Engineering, MoE Key Lab of Artiﬁcial Intelligence, AI Institute, Shanghai Jiao Tong University; School of Data Science, Shenzhen Institute of Artiﬁcial Intelligence and Robotics for Society, The Chinese University of Hong Kong, Shenzhen
Conference: nips 2021 (main track)
Keywords: deep generative models;generative adversarial networks;energy models;stein's methods
Decision: Poster
Title: Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers
Authors: Julian Katz-Samuels, Blake Mason, Kevin Jamieson, Rob Nowak
Affiliations: University of Washington; Rice University; University of Wisconsin, Madison
Conference: nips 2021 (main track)
Keywords: Active Learning;Active Classification;Multi-Armed Bandits
Decision: Poster
Title: Multi-Objective Meta Learning
Authors: Feiyang YE, Baijiong Lin, Zhixiong Yue, Pengxin Guo, Qiao Xiao, Yu Zhang
Affiliations: Department of Computer Science and Engineering, Southern University of Science and Technology; University of Technology Sydney; Department of Computer Science and Engineering, Southern University of Science and Technology; Peng Cheng Laboratory; Eindhoven University of Technology; Department of Computer Science and Engineering, Southern University of Science and Technology
Conference: nips 2021 (main track)
Keywords: Meta Learning;Multi-objective Optimization;Bi-level Optimization
Decision: Poster
Title: Learning to Synthesize Programs as Interpretable and Generalizable Policies
Authors: Dweep Trivedi, Jesse Zhang, Shao-Hua Sun, Joseph Lim
Affiliations: University of Southern California
Conference: nips 2021 (main track)
Keywords: Program Synthesis;Neural Program Synthesis;Programmatic Reinforcement Learning;Reinforcement Learning;Deep Reinforcement Learning
Decision: Poster
Title: Conditional Generation Using Polynomial Expansions
Authors: Grigorios Chrysos, Markos Georgopoulos, Yannis Panagakis
Affiliations: Imperial College London, UK; University of Athens, GR; EPFL, Switzerland
Conference: nips 2021 (main track)
Keywords: polynomial expansions;polynomial neural networks;GAN;VAE;unseen combinations;conditional data generation
Decision: Poster
Title: Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning
Authors: Jannik Kossen, Neil Band, Clare Lyle, Aidan Gomez, Thomas Rainforth, Yarin Gal
Affiliations: Department of Statistics, University of Oxford; OATML, Department of Computer Science, University of Oxford; Cohere; OATML, Department of Computer Science, University of Oxford
Conference: nips 2021 (main track)
Keywords: attention;self-attention;transformers;multi-head self-attention;dot-product attention;equivariant;equivariance;invariant;invariance;interactions;tabular;supervised learning;masking
Decision: Poster
Title: Adaptive First-Order Methods Revisited: Convex Minimization without Lipschitz Requirements
Authors: Kimon Antonakopoulos, Panayotis Mertikopoulos
Affiliations: Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LIG 38000 Grenoble, France & Criteo AI Lab
Conference: nips 2021 (main track)
Keywords: convex optimization;non-Lipschitz;adaptive methods
Decision: Poster
Title: PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations
Authors: Moshe Eliasof, Eldad Haber, Eran Treister
Affiliations: Department of Computer Science, Ben-Gurion University of the Negev, Beer-Sheva, Israel; Department of Earth, Ocean and Atmospheric Sciences, University of British Columbia, Vancouver, Canada
Conference: nips 2021 (main track)
Keywords: Graph Neural Networks;Neural Network Architectures;PDES  in Deep Learning;Partial Differential Equations
Decision: Poster
Title: Lossy Compression for Lossless Prediction
Authors: Yann Dubois, Benjamin Bloem-Reddy, Karen Ullrich, Chris Maddison
Affiliations: Facebook AI Research; Vector Institute; University of Toronto, Vector Institute; The University of British Columbia
Conference: nips 2021 (main track)
Keywords: Compression;Invariances;Information Theory;Machine Learning;Self-Supervised Learning
Decision: Spotlight
Title: Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence
Authors: Tianshi Cao, Alex Bie, Arash Vahdat, Sanja Fidler, Karsten Kreis
Affiliations: NVIDIA; University of Toronto, Vector Institute, NVIDIA; University of Waterloo
Conference: nips 2021 (main track)
Keywords: Differential Privacy;Generative Learning;Optimal Transport;Sinkhorn Divergence
Decision: Poster
Title: Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate
Authors: Xingyuan Sun, Tianju Xue, Szymon Rusinkiewicz, Ryan Adams
Affiliations: Department of Civil and Environmental Engineering, Princeton University; Department of Computer Science, Princeton University
Conference: nips 2021 (main track)
Keywords: Amortization;Inverse design;Differentiable surrogate;3D printing;Soft robot
Decision: Spotlight
Title: Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems
Authors: Zixiu Wang, Yiwen Guo, Hu Ding
Affiliations: ByteDance AI Lab; School of Computer Science and Technology, University of Science and Technology of China
Conference: nips 2021 (main track)
Keywords: coreset;Continuous-and-Bounded learning;outliers;dynamic setting
Decision: Spotlight
Title: Safe Pontryagin Differentiable Programming
Authors: Wanxin Jin, Shaoshuai Mou, George J. Pappas
Affiliations: Purdue University; University of Pennsylvania
Conference: nips 2021 (main track)
Keywords: safe reinforcement learning;safe learning and control;constrained learning and control;differentiable programming;bi-level optimization;safety-critical tasks
Decision: Poster
Title: Causal Identification with Matrix Equations
Authors: Sanghack Lee, Elias Bareinboim
Affiliations: Department of Computer Science, Columbia University, New York, USA; Graduate School of Data Science, Seoul National University, Seoul, South Korea
Conference: nips 2021 (main track)
Keywords: Causal Inference;Causal Effect Identifiability;Causal Effect;Causality
Decision: Oral
Title: Pipeline Combinators for Gradual AutoML
Authors: Guillaume Baudart, Martin Hirzel, Kiran Kate, Parikshit Ram, Avi Shinnar, Jason Tsay
Affiliations: IBM Research, USA; Inria, ENS – PSL University, France
Conference: nips 2021 (main track)
Keywords: AutoML;scikit-learn;programming models;functional programming
Decision: Poster
Title: MIND dataset for diet planning and dietary healthcare with machine learning: Dataset creation using combinatorial optimization and controllable generation with domain experts
Affiliations: Kosin University Gospel Hospital; Kosin University College of Medicine; Ulsan National Institute of Science and Technology (UNIST)
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: diet planning;healthcare;machine learning;dataset;MIND;dietkit
Decision: Poster