hunoutl/paperlists huggingface dataset:
Title: LION: Latent Point Diffusion Models for 3D Shape Generation
Authors: xiaohui zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis
Affiliations: NVIDIA; NVIDIA, University of Toronto, Vector Institute
Conference: nips 2022 (main track)
Keywords: 3D Shape Synthesis;Generative Learning;Diffusion Models;Point Cloud Generation;Denoising Diffusion;Variational Autoencoder
Decision: Poster
Title: Drawing out of Distribution with Neuro-Symbolic Generative Models
Authors: Yichao Liang, Josh Tenenbaum, Tuan Anh Le, Siddharth N
Affiliations: Google; MIT; University of Oxford; University of Edinburgh
Conference: nips 2022 (main track)
Keywords: Neuro-Symbolic Models;Generalisation;Unsupervised Learning;Omniglot
Decision: Poster
Title: Rank Diminishing in Deep Neural Networks
Authors: Ruili Feng, Kecheng Zheng, Yukun Huang, Deli Zhao, Michael Jordan, Zheng-Jun Zha
Affiliations: University of California, Berkeley; University of Science and Technology of China, Hefei, China; Ant Research, Alibaba Group, Hangzhou, China
Conference: nips 2022 (main track)
Keywords: Interpretability;Network Rank;Feature Representation;Low Rank;Learning Theory
Decision: Poster
Title: A Probabilistic Graph Coupling View of Dimension Reduction
Authors: Hugues Van Assel, Thibault Espinasse, Julien Chiquet, Franck Picard
Affiliations: UMPA, ENS Lyon; AgroParisTech, INRAE; LBMC, CNRS, ENS Lyon; Institut Camille Jordan Lyon 1, Inria Dracula
Conference: nips 2022 (main track)
Keywords: Dimension Reduction;Graphical Models;Random Graphs
Decision: Poster
Title: Coresets for Relational Data and The Applications
Authors: Jiaxiang Chen, Qingyuan Yang, Ruomin Huang, Hu Ding
Affiliations: School of Computer Science and Technology, University of Science and Technology of China; School of Data Science, University of Science and Technology of China
Conference: nips 2022 (main track)
Keywords: coreset;relational data;optimization
Decision: Poster
Title: OccGen: Selection of Real-world Multilingual Parallel Data Balanced in Gender within Occupations
Authors: Marta Costa-jussà, Christine Basta, Oriol Domingo, André Rubungo
Affiliations: Meta AI; Universitat Politècnica de Catalunya, IGSR, Alexandria University, Egypt; Batou XYZ; Princeton University (Work done while at Universitat Politècnica de Catalunya)
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Balanced Multilingual Data Set;Gender;Occupations;Machine Translation
Decision: Poster
Title: Data Augmentation MCMC for Bayesian Inference from Privatized Data
Authors: Nianqiao Ju, Jordan Awan, Ruobin Gong, Vinayak Rao
Affiliations: Department of Statistics, Purdue University, West Lafayette, IN 47907; Department of Statistics, Rutgers University, Piscataway, NJ 08854
Conference: nips 2022 (main track)
Keywords: differential privacy;data augmentation;MCMC;Gibbs sampler
Decision: Poster
Title: Segmenting Moving Objects via an Object-Centric Layered Representation
Authors: Junyu Xie, Weidi Xie, Andrew Zisserman
Affiliations: Visual Geometry Group, Department of Engineering Science, University of Oxford, UK; Visual Geometry Group, Department of Engineering Science, University of Oxford, UK and Coop. Medianet Innovation Center, Shanghai Jiao Tong University, China
Conference: nips 2022 (main track)
Keywords: motion segmentation;multi-object video segmentation;object-centric representation;layered representation;Transformer;Sim2Real generalisation
Decision: Poster
Title: AutoST: Towards the Universal Modeling of Spatio-temporal Sequences
Authors: Jianxin Li, Shuai Zhang, Hui Xiong, Haoyi Zhou
Affiliations: HKUST(GZ), HKUST FYTRI, Guangzhou, China 511455; BDBC, Beihang University, Beijing, China 100191
Conference: nips 2022 (main track)
Keywords: Neural Network;Spatio-temporal Forecasting;Architecture Search
Decision: Poster
Title: FreGAN: Exploiting Frequency Components for Training GANs under Limited Data
Authors: mengping yang, Zhe Wang, Ziqiu Chi, Yanbing Zhang
Affiliations: Department of Computer Science and Engineering, ECUST, China; Key Laboratory of Smart Manufacturing in Energy Chemical Process, ECUST, China
Conference: nips 2022 (main track)
Keywords: Generative adversarial networks;Limited data;Frequency analysis;Image generation
Decision: Poster
Title: Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems
Authors: Abishek Thangamuthu, Gunjan Kumar, Suresh Bishnoi, Ravinder Bhattoo, N M Anoop Krishnan, Sayan Ranu
Affiliations: Department of Computer Science and Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India; Yardi School of Artiﬁcial Intelligence, Indian Institute of Technology Delhi, New Delhi 110016, India; School of Interdisciplinary Research, Indian Institute of Technology Delhi, New Delhi 110016, India; Department of Civil Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: physics-informed graph neural network;dynamical systems;benchmarking study;neural ODE;Lagrangian neural network;Hamiltonian neural network
Decision: Poster
Title: VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids
Authors: Albert Pumarola, Artsiom Sanakoyeu, Lior Yariv, Ali Thabet, Yaron Lipman
Affiliations: Meta AI; Weizmann Institute of Science; Meta AI, Weizmann Institute of Science
Conference: nips 2022 (main track)
Keywords: surface reconstruction;implicit neural representations;signed distance functions
Decision: Poster
Title: Simulation-guided Beam Search for Neural Combinatorial Optimization
Authors: Jinho Choo, Yeong-Dae Kwon, Jihoon Kim, Jeongwoo Jae, André Hottung, Kevin Tierney, Youngjune Gwon
Affiliations: Samsung SDS, Korea; Bielefeld University, Germany
Conference: nips 2022 (main track)
Keywords: Combinatorial Optimization;Reinforcement Learning;Active Search;Beam Search;MCTS;Tree Search;TSP;CVRP;Flow-Shop Scheduling
Decision: Poster
Title: A Deep Learning Dataloader with Shared Data Preparation
Authors: jian xie, Jingwei Xu, Guochang Wang, Yuan Yao, Zenan Li, Chun Cao, Hanghang Tong
Affiliations: University of Illinois Urbana-Champaign; Nanjing University
Conference: nips 2022 (main track)
Keywords: Deep learning infrastructure;Deep learning Dataloader;Sampling algorithm in Dataloader
Decision: Poster
Title: QueryPose: Sparse Multi-Person Pose Regression via Spatial-Aware Part-Level Query
Authors: Yabo Xiao, Kai Su, Xiaojuan Wang, Dongdong Yu, Lei Jin, Mingshu He, Zehuan Yuan
Affiliations: ByteDance Inc., Shanghai, China; ByteDance Inc., Beijing, China; BUPT, Beijing, China; OPPO Research Institute, Beijing, China
Conference: nips 2022 (main track)
Keywords: Sparse;End-to-end;Spatial-aware part-level query.
Decision: Poster
Title: Learning Best Combination for Efficient N:M Sparsity
Authors: Yuxin Zhang, Mingbao Lin, ZhiHang Lin, Yiting Luo, Ke Li, Fei Chao, Yongjian Wu, Rongrong Ji
Affiliations: MAC Lab, School of Informatics, Xiamen University, Xiamen, China; MAC Lab, School of Informatics, Xiamen University, Xiamen, China; Institute of Artificial Intelligence, Xiamen University, Xiamen China; Pengcheng Lab, Shenzhen, China; Tencent Youtu Lab, Shanghai, China
Conference: nips 2022 (main track)
Keywords: Network sparsity;Efficient Inference
Decision: Poster
Title: A general approximation lower bound in $L^p$ norm, with applications to feed-forward neural networks
Authors: El Mehdi Achour, Armand Foucault, Sébastien Gerchinovitz, François Malgouyres
Affiliations: IRT Saint Exupéry, 3 rue Tarfaya, 31400 Toulouse, France; Institut de Mathématiques de Toulouse ; UMR5219, Université de Toulouse ; CNRS, UPS IMT, F-31062 Toulouse Cedex 9, France
Conference: nips 2022 (main track)
Keywords: neural networks;approximation theory;lower bounds
Decision: Poster
Title: Addressing Leakage in Concept Bottleneck Models
Authors: Marton Havasi, Sonali Parbhoo, Finale Doshi-Velez
Affiliations: School of Engineering and Applied Sciences, Harvard University; Department of Electrical Engineering, Imperial College London
Conference: nips 2022 (main track)
Keywords: interpretable models;concept bottleneck model;leakage
Decision: Poster
Title: So3krates: Equivariant attention for interactions on arbitrary length-scales in molecular systems
Authors: Thorben Frank, Oliver Unke, Klaus-Robert Müller
Affiliations: Machine Learning Group, TU Berlin, 10587 Berlin, Germany; BIFOLD, Berlin Institute for the Foundations of Learning and Data, Germany; Google Research, Brain team, Berlin; Machine Learning Group, TU Berlin, 10587 Berlin, Germany; BIFOLD, Berlin Institute for the Foundations of Learning and Data, Germany; Google Research, Brain team, Berlin; Department of Artiﬁcial Intelligence, Korea University, Seoul 136-713, Korea; Max Planck Institut für Informatik, 66123 Saarbrücken, Germany; Machine Learning Group, TU Berlin, 10587 Berlin, Germany; BIFOLD, Berlin Institute for the Foundations of Learning and Data, Germany
Conference: nips 2022 (main track)
Keywords: equivariance;self-attention;message passing;molecules;force fields;non-local
Decision: Poster
Title: Generalizing Bayesian Optimization with Decision-theoretic Entropies
Authors: Willie Neiswanger, Lantao Yu, Shengjia Zhao, Chenlin Meng, Stefano Ermon
Affiliations: Computer Science Department, Stanford University, Stanford, CA 94305
Conference: nips 2022 (main track)
Keywords: Bayesian optimization;entropy search;Bayesian optimal experimental design;knowledge gradient
Decision: Poster
Title: Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space
Authors: Yunbum Kook, Yin-Tat Lee, Ruoqi Shen, Santosh Vempala
Affiliations: Microsoft Research, University of Washington; University of Washington; Georgia Tech
Conference: nips 2022 (main track)
Keywords: Sampling;Hamiltonian Monte Carlo
Decision: Poster
Title: Diverse Weight Averaging for Out-of-Distribution Generalization
Authors: Alexandre Rame, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord
Affiliations: Sorbonne Université, CNRS, ISIR, F-75005 Paris, France; Criteo AI Lab, Paris, France; Université de Rouen, LITIS, France; Sorbonne Université, CNRS, ISIR, F-75005 Paris, France; Valeo.ai, Paris, France; Sorbonne Université, CNRS, ISIR, F-75005 Paris, France; Criteo AI Lab, Paris, France; Criteo AI Lab, Paris, France
Conference: nips 2022 (main track)
Keywords: Deep Learning;Computer Vision;Out-of-Distribution Generalization;Domain Generalization;Distribution Shifts;Ensembling;Weight Averaging
Decision: Poster
Title: HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions
Authors: Yongming Rao, Wenliang Zhao, Yansong Tang, Jie Zhou, Ser Nam Lim, Jiwen Lu
Affiliations: Meta AI; Tsinghua University
Conference: nips 2022 (main track)
Keywords: Model Architectures;Dynamic Neural Networks;Vision Transformers;Convolutional Neural Networks
Decision: Poster
Title: The least-control principle for local learning at equilibrium
Authors: Alexander Meulemans, Nicolas Zucchet, Seijin Kobayashi, Johannes von Oswald, João Sacramento
Affiliations: Department of Computer Science, ETH Zürich; Institute of Neuroinformatics, University of Zürich and ETH Zürich
Conference: nips 2022 (main track)
Keywords: Biologically-plausible learning;local learning rules;predictive coding;neuroscience;equilibrium recurrent neural networks;meta learning;deep equilibrium models;implicit models;optimal control
Decision: Highlighted
Title: EgoTaskQA: Understanding Human Tasks in Egocentric Videos
Authors: Baoxiong Jia, Ting Lei, Song-Chun Zhu, Siyuan Huang
Affiliations: Beijing Institute for General Artificial Intelligence (BIGAI); Beijing Institute for General Artificial Intelligence (BIGAI); Institute for Artificial Intelligence, Peking University; UCLA Center for Vision, Cognition, Learning, and Autonomy (VCLA); Beijing Institute for General Artificial Intelligence (BIGAI); Beijing Institute for General Artificial Intelligence (BIGAI); Institute for Artificial Intelligence, Peking University; Department of Automation, Tsinghua University
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Egocentric Vision;Goal-oriented Activities;Video Question Answering
Decision: Poster
Title: Synergy-of-Experts: Collaborate to Improve Adversarial Robustness
Authors: Sen Cui, Jingfeng ZHANG, Jian Liang, Bo Han, Masashi Sugiyama, Changshui Zhang
Affiliations: Institute for Artificial Intelligence, Tsinghua University (THUAI), Beijing National Research Center for Information Science and Technology (BNRist), Department of Automation, Tsinghua University, Beijing, P.R.China; Hong Kong Baptist University, Hong Kong SAR, China; Alibaba Group, China; RIKEN Center for Advanced Intelligence Project, Tokyo, Japan; The University of Tokyo, Tokyo, Japan; RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
Conference: nips 2022 (main track)
Keywords: adversarial defense;collaboration;model ensemble.
Decision: Poster
Title: Towards Efficient Post-training Quantization of Pre-trained Language Models
Authors: Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Irwin King, Michael R Lyu
Affiliations: The Chinese University of Hong Kong; Huawei Noah’s Ark Lab; Huawei Noah’s Ark Lab, The Chinese University of Hong Kong
Conference: nips 2022 (main track)
Keywords: post-training quantization;BERT;natural langauge processing;training efficiency
Decision: Poster
Title: S$^3$-NeRF: Neural Reflectance Field from Shading and Shadow under a Single Viewpoint
Authors: Wenqi Yang, Guanying Chen, Chaofeng Chen, Zhenfang Chen, Kwan-Yee K. Wong
Affiliations: The University of Hong Kong; MIT-IBM Watson AI Lab; Nanyang Technological University; FNii and SSE, CUHK-Shenzhen
Conference: nips 2022 (main track)
Keywords: Single-view Reconstruction;Photometric Stereo;Shape-from-shadow;Neural Scene Representation
Decision: Poster
Title: Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes
Authors: Alessio Mazzetto, Cristina Menghini, Andrew Yuan, Eli Upfal, Stephen Bach
Affiliations: Brown University
Conference: nips 2022 (main track)
Keywords: ZSL;theory;lower bound;Zero-Shot Learning;machine learning;learning with less data
Decision: Poster
Title: Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models
Authors: Maribeth Rauh, John Mellor, Jonathan Uesato, Po-Sen Huang, Johannes Welbl, Laura Weidinger, Sumanth Dathathri, Amelia Glaese, Geoffrey Irving, Iason Gabriel, William Isaac, Lisa Anne Hendricks
Affiliations: DeepMind
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: evaluation;NLP;language models;ethics;fairness;benchmark;toxicity
Decision: Poster
Title: OmniVL: One Foundation Model for Image-Language and Video-Language Tasks
Authors: Junke Wang, Dongdong Chen, Zuxuan Wu, Chong Luo, Luowei Zhou, Yucheng Zhao, Yujia Xie, Ce Liu, Yu-Gang Jiang, Lu Yuan
Affiliations: Shanghai Key Lab of Intell. Info. Processing, School of CS, Fudan University; Microsoft Research Asia; Microsoft Cloud + AI
Conference: nips 2022 (main track)
Keywords: Vision-Language Pretraining;Unified Foundation Model
Decision: Poster
Title: Revisit last-iterate convergence of mSGD under milder requirement on step size
Authors: ruinan Jin, Xingkang He, Lang Chen, Difei Cheng, Vijay Gupta
Affiliations: Elmore Family School of Electrical and Computer Engineering, Purdue University, IN, USA; Department of Electrical Engineering, University of Notre Dame, IN, USA; College of Information Engineering, Shenyang University of Chemical Technology, Shenyang, China; The Chinese University of Hong Kong, Shenzhen, China; Institute of Automation, Chinese Academy of Sciences, Beijing, China
Conference: nips 2022 (main track)
Keywords: stochastic gradient descent;momentum;convergence
Decision: Poster
Title: Active Learning Through a Covering Lens
Authors: Ofer Yehuda, Avihu Dekel, Guy Hacohen, Daphna Weinshall
Affiliations: School of Computer Science & Engineering, The Hebrew University of Jerusalem, Jerusalem 91904, Israel; School of Computer Science & Engineering, Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem 91904, Israel
Conference: nips 2022 (main track)
Keywords: Active learning;AL;low budget;probability cover;max cover;ProbCover;Deep active learning;Active learning theory
Decision: Poster
Title: Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits
Authors: Ruibo Liu, Chenyan Jia, Ge Zhang, Ziyu Zhuang, Tony Liu, Soroush Vosoughi
Affiliations: Stanford University; Dartmouth College; Beijing Academy of Artiﬁcial Intelligence
Conference: nips 2022 (main track)
Keywords: human values;ai safety;alignment;social impact;human-AI interaction
Decision: Poster
Title: A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models
Authors: Lijia Zhou, Frederic Koehler, Pragya Sur, Danica J. Sutherland, Nati Srebro
Affiliations: University of British Columbia & Amii; Harvard University; Toyota Technological Institute at Chicago; University of Chicago; Stanford University
Conference: nips 2022 (main track)
Decision: Poster
Title: Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks
Authors: Minji Yoon, John Palowitch, Dustin Zelle, Ziniu Hu, Ruslan Salakhutdinov, Bryan Perozzi
Affiliations: Carnegie Mellon University; University of California Los Angeles; Google Research
Conference: nips 2022 (main track)
Keywords: graph neural networks;heterogeneous graph;heterogeneous graph neural networks;transfer learning;domain adaptation
Decision: Poster
Title: DMAP: a Distributed Morphological Attention Policy for learning to locomote with a changing body
Authors: Alberto Silvio Chiappa, Alessandro Marin Vargas, Alexander Mathis
Affiliations: École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
Conference: nips 2022 (main track)
Keywords: Computational Neuroscience;Reinforcement learning;Sensorimotor learning;Motor adaptation;Motor learning;Morphology Perturbations
Decision: Poster
Title: On the relationship between variational inference and auto-associative memory
Authors: Louis Annabi, Alexandre Pitti, Mathias Quoy
Affiliations: ETIS UMR 8051, CY Cergy Paris Université, ENSEA, CNRS, Cergy, France
Conference: nips 2022 (main track)
Keywords: Associative Memory;Variational Inference;Predictive Coding;Hopfield Networks;Variational Autoencoders
Decision: Poster
Title: Evaluating Out-of-Distribution Performance on Document Image Classifiers
Authors: Stefan Larson, Yi Yang Gordon Lim, Yutong Ai, David Kuang, Kevin Leach
Affiliations: DryvIQ; University of Michigan; Vanderbilt University
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: document classification;RVL-CDIP;out-of-distribution
Decision: Poster
Title: Off-Policy Evaluation with Deficient Support Using Side Information
Authors: Nicolò Felicioni, Maurizio Ferrari Dacrema, Marcello Restelli, Paolo Cremonesi
Affiliations: Politecnico di Milano
Conference: nips 2022 (main track)
Keywords: Off-Policy Evaluation;Inverse Propensity Score;Importance Sampling;Contextual Bandits;Recommendation Systems;Deficient Support
Decision: Poster
Title: Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation
Authors: Jannik Kossen, Sebastian Farquhar, Yarin Gal, Thomas Rainforth
Affiliations: OATML, Department of Computer Science, University of Oxford; DeepMind; Department of Statistics, University of Oxford; OATML, Department of Computer Science, University of Oxford
Conference: nips 2022 (main track)
Keywords: active testing;sample-efficiency;model evaluation;active evaluation;active learning;bayesian active learning;experimental design
Decision: Highlighted
Title: Confident Adaptive Language Modeling
Authors: Tal Schuster, Adam Fisch, Jai Gupta, Mostafa Dehghani, Dara Bahri, Vinh Tran, Yi Tay, Donald Metzler
Affiliations: CSAIL, MIT; Google Research
Conference: nips 2022 (main track)
Keywords: adaptive compute;early exit;language model;transformer;nlp
Decision: Highlighted
Title: A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks
Authors: Mingrui Liu, Zhenxun Zhuang, Yunwen Lei, Chunyang Liao
Affiliations: Meta Platforms, Inc., Bellevue, WA, 98004, USA; Department of Computer Science, George Mason University, Fairfax, VA 22030, USA; School of Computer Science, University of Birmingham, United Kingdom; Department of Mathematics, Texas A&M University, College Station, Texas 77840, USA
Conference: nips 2022 (main track)
Keywords: Distributed Training;Gradient Clipping;Communication-Efficient;Optimization
Decision: Poster
Title: The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design
Authors: Ruoyu Cheng, Xianglong Lyu, Yang Li, Junjie Ye, Jianye Hao, Junchi Yan
Affiliations: Huawei Noah’s Ark Lab; Department of Computer Science and Engineering, Shanghai Jiao Tong University; MoE Key Lab of Artificial Intelligence, SJTU; Shanghai AI Laboratory; Department of Computer Science and Engineering, Shanghai Jiao Tong University
Conference: nips 2022 (main track)
Keywords: Reinforcement learning;Machine learning;Combinatorial optimization;Electronic design automation
Decision: Poster
Title: Proppo: a Message Passing Framework for Customizable and Composable Learning Algorithms
Authors: Paavo Parmas, Takuma Seno
Affiliations: Keio University; Sony AI; Kyoto University; Okinawa Institute of Science and Technology (OIST)
Conference: nips 2022 (main track)
Keywords: machine learning frameworks;Monte Carlo gradient estimation;Automatic Differentiation
Decision: Poster
Title: What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text Inputs
Authors: Tal Shaharabany, Yoad Tewel, Lior Wolf
Affiliations: Tel-Aviv University
Conference: nips 2022 (main track)
Keywords: weakly-supervised phrase-grounding;open-world;weakly-supervised localization;CLIP
Decision: Poster
Title: Off-Team Learning
Authors: Brandon Cui, Hengyuan Hu, Andrei Lupu, Samuel Sokota, Jakob Foerster
Affiliations: Carnegie Mellon University; MosaicML; FLAIR, University of Oxford; Stanford University; Meta AI & FLAIR, University of Oxford
Conference: nips 2022 (main track)
Keywords: Multi-Agent Reinforcement Learning;Reinforcement Learning;Cooperative Multi-Agent Reinforcement Learning;Deep Reinforcement Learning
Decision: Poster
Title: Batch Bayesian optimisation via density-ratio estimation with guarantees
Authors: Rafael Oliveira, Louis Tiao, Fabio Ramos
Affiliations: Brain and Mind Centre, the University of Sydney, Australia; ARC Training Centre in Data Analytics for Resources and Environments, Australia; School of Computer Science, the University of Sydney, Australia; NVIDIA, USA; School of Computer Science, the University of Sydney, Australia
Conference: nips 2022 (main track)
Keywords: Bayesian optimization;Gaussian processes;density-ratio estimation;regret bounds;approximate Bayesian inference
Decision: Poster
Title: When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment
Authors: Zhijing Jin, Sydney Levine, Fernando Gonzalez Adauto, Ojasv Kamal, Maarten Sap, Mrinmaya Sachan, Rada Mihalcea, Josh Tenenbaum, Bernhard Schölkopf
Affiliations: LTI, Carnegie Mellon University; MIT; University of Michigan; MPI & ETH Zürich; MPI for Intelligent Systems; IIT Kharagpur; ETH Zürich; MIT & Harvard
Conference: nips 2022 (main track)
Keywords: AI safety;Social Aspects of Machine Learning;ethics;cognitive science;moral decision-making
Decision: Highlighted
Title: ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward
Authors: Zixian Ma, Rose Wang, Fei-Fei Li, Michael Bernstein, Ranjay Krishna
Affiliations: Stanford University; Stanford University, University of Washington
Conference: nips 2022 (main track)
Keywords: Multi-agent intrinsic reward;multi-agent reinforcement learning
Decision: Poster
Title: ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning
Authors: Junting Pan, Ziyi Lin, Xiatian Zhu, Jing Shao, Hongsheng Li
Affiliations: Multimedia Laboratory, The Chinese University of Hong Kong; Surrey Institute for People-Centred Artificial Intelligence, CVSSP, University of Surrey; Centre for Perceptual and Interactive Intelligence Limited
Conference: nips 2022 (main track)
Keywords: parameter-efficient transfer learning;video recognition;adapters
Decision: Poster