hunoutl/paperlists huggingface dataset:
Title: Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning
Authors: Yitian Hong, Yaochu Jin, Yang Tang
Affiliations: Bielefeld University; East China University of Science and Technology
Conference: nips 2022 (main track)
Keywords: Individual Global Max;Cooperative Multi Agent Reinforcement Learning;Value Decomposition;Imitation Learning;Data Aggregation
Decision: Poster
Title: The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm
Authors: Shilong Bao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
Affiliations: State Key Laboratory of Information Security, Institute of Information Engineering, CAS; School of Cyber Security, University of Chinese Academy of Sciences; Alibaba Group; School of Cyber Science and Technology, Shenzhen Campus, Sun Yat-sen University; Key Laboratory of Big Data Mining and Knowledge Management, CAS; School of Computer Science and Tech., University of Chinese Academy of Sciences; Peng Cheng Laboratory; Key Lab. of Intelligent Information Processing, Institute of Computing Technology, CAS; School of Computer Science and Tech., University of Chinese Academy of Sciences
Conference: nips 2022 (main track)
Keywords: Collaborative Metric Learning;Machine Learning;Recommendation System
Decision: Highlighted
Title: From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent
Authors: Christopher De Sa, Satyen Kale, Jason Lee, Ayush Sekhari, Karthik Sridharan
Affiliations: Cornell University; Princeton University and Google Research, Princeton; Google Research, NY
Conference: nips 2022 (main track)
Keywords: Theory;Gradient flow;Stochastic Gradient Descent;Gradient Descent;SGD;Non-convex optimization;Lyapunov potentials
Decision: Poster
Title: On Margins and Generalisation for Voting Classifiers
Authors: Felix Biggs, Valentina Zantedeschi, Benjamin Guedj
Affiliations: Department of Computer Science, University College London and Inria, London; ServiceNow Research, University College London and Inria, London
Conference: nips 2022 (main track)
Keywords: PAC-Bayes;Generalisation bounds;Ensemble learning;Margins;Majority votes;Aggregation of experts
Decision: Poster
Title: SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training
Authors: Jianhao Ding, Tong Bu, Zhaofei Yu, Tiejun Huang, Jian Liu
Affiliations: School of Computing, University of Leeds, Leeds LS2 9JT; School of Computer Science, Peking University, Beijing, China 100871; Institute for Artificial Intelligence, School of Computer Science, Peking University, Beijing, China 100871; Institution for Artificial Intelligence, School of Computer Science, Peking University, Beijing, China 100871
Conference: nips 2022 (main track)
Keywords: Spiking Neural Networks;Neural Coding;Perturbation Analysis
Decision: Poster
Title: EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations
Authors: Min Zhao, Fan Bao, Chongxuan LI, Jun Zhu
Affiliations: Dept. of Comp. Sci. & Tech., BNRist Center, THU-Bosch ML Center, Tsinghua University, China; Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China; Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China
Conference: nips 2022 (main track)
Keywords: Image to image translation;diffusion probabilistic models;stochastic differential equation;product of experts
Decision: Poster
Title: Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds
Authors: Aritra Mitra, Arman Adibi, George J. Pappas, Hamed Hassani
Affiliations: Department of Electrical and Systems Engineering, University of Pennsylvania
Conference: nips 2022 (main track)
Keywords: Collaborative Linear Bandits;Adversarial Attacks;Multi-Agent Systems;Robustness;Provably Correct Algorithms
Decision: Poster
Title: Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning
Authors: Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Furong Huang
Affiliations: University of Maryland, College Park; Shanghai AI Lab
Conference: nips 2022 (main track)
Keywords: Reinforcement Learning;Robustness;Worst-case Aware;Adversarial Learning
Decision: Poster
Title: Are Defenses for Graph Neural Networks Robust?
Authors: Felix Mujkanovic, Simon Geisler, Stephan Günnemann, Aleksandar Bojchevski
Affiliations: Dept. of Computer Science & Munich Data Science Institute, Technical University of Munich; CISPA Helmholtz Center for Information Security
Conference: nips 2022 (main track)
Keywords: Adversarial Robustness;Graph Neural Networks;Adaptive Attacks
Decision: Poster
Title: Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization
Authors: Wenhao Gao
Affiliations: Department of Computer Science, University of Illinois at Urbana-Champaign; Department of Chemical Engineering, Massachusetts Institute of Technology; Department of Computational Science and Engineering, Georgia Institute of Technology; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology
Conference: nips 2022 (Datasets & Benchmarks track)
Decision: Poster
Title: MABSplit: Faster Forest Training Using Multi-Armed Bandits
Authors: Mo Tiwari, Ryan Kang, Jaeyong Lee, Chris Piech, Ilan Shomorony, Sebastian Thrun, Martin Zhang
Affiliations: Electrical and Computer Engineering, University of Illinois at Urbana-Champaign; Oxford University; Department of Computer Science, Stanford University; Department of Epidemiology, Harvard T.H. Chan School of Public Health
Conference: nips 2022 (main track)
Keywords: random forest;xgboost;CART;classification and regression trees;multi-armed bandits;best arm identification
Decision: Poster
Title: On the Parameterization and Initialization of Diagonal State Space Models
Authors: Albert Gu, Karan Goel, Ankit Gupta, Christopher Ré
Affiliations: Department of Computer Science, Stanford University; IBM Research
Conference: nips 2022 (main track)
Keywords: Deep learning;sequence model;state space model;S4;HiPPO;diagonal state space
Decision: Poster
Title: Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach
Authors: Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao
Conference: nips 2022 (main track)
Keywords: Data Augmentation;Representation Learning;Adversarial Auto-Augment
Decision: Poster
Title: Characterizing Datapoints via Second-Split Forgetting
Authors: Pratyush Maini, Saurabh Garg, Zachary Lipton, J. Zico Kolter
Affiliations: Carnegie Mellon University; Carnegie Mellon University, Bosch Center for AI
Conference: nips 2022 (main track)
Keywords: example hardness;memorization;generalization;forgetting;unlearning
Decision: Poster
Title: Fast Neural Kernel Embeddings for General Activations
Authors: Insu Han, Amir Zandieh, Jaehoon Lee, Roman Novak, Lechao Xiao, Amin Karbasi
Affiliations: Yale University and Google Research; Yale University; Max-Planck-Institut für Informatik; Google Research
Conference: nips 2022 (main track)
Decision: Poster
Title: Last-Iterate Convergence of Optimistic Gradient Method for Monotone Variational Inequalities
Authors: Eduard Gorbunov, Adrien Taylor, Gauthier Gidel
Affiliations: INRIA & École Normale Supérieure, CNRS & PSL Research University, France; Mila & UdeM, Canada; Canada CIFAR AI Chair; MIPT, Russia; Mila & UdeM, Canada; MBZUAI, UAE
Conference: nips 2022 (main track)
Keywords: optimistic gradient method;monotone variational inequalities;last-iterate convergence;computer-aided proofs
Decision: Poster
Title: Towards Video Text Visual Question Answering: Benchmark and Baseline
Authors: Minyi Zhao, Bingjia Li, Jie Wang, Wanqing Li, Wenjing Zhou, Lan Zhang, Shijie Xuyang, Zhihang Yu, Xinkun Yu, Guangze Li, Aobotao Dai, Shuigeng Zhou
Affiliations: Shanghai Key Lab of Intelligent Information Processing, and School of Computer Science, Fudan University, Shanghai 200438, China; ByteDance, China
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: video text visual question answering;text-based visual question answering;video question answering
Decision: Poster
Title: Efficient and Effective Optimal Transport-Based Biclustering
Authors: Chakib Fettal, lazhar labiod, Mohamed NADIF
Affiliations: Centre Borelli UMR 9010, Université Paris Cité; Centre Borelli UMR 9010, Université Paris Cité, Informatique Caisse des Dépôts et Consignations
Conference: nips 2022 (main track)
Keywords: biclustering;optimal transport
Decision: Poster
Title: Structured Recognition for Generative Models with Explaining Away
Authors: Changmin Yu, Hugo Soulat, Neil Burgess, Maneesh Sahani
Affiliations: Gatsby Computational Neuroscience Unit; UCL, London, United Kingdom; Institute of Cognitive Neuroscience; Gatsby Computational Neuroscience Unit; UCL, London, United Kingdom; Institute of Cognitive Neuroscience; UCL, London, United Kingdom
Conference: nips 2022 (main track)
Keywords: variational inference;Gaussian process;computational neuroscience;graphical models
Decision: Poster
Title: Variational Model Perturbation for Source-Free Domain Adaptation
Authors: Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees Snoek
Affiliations: University of Electronic Science and Technology of China; University of Amsterdam
Conference: nips 2022 (main track)
Keywords: transfer learning;domain adaptation;variational inference;model perturbation
Decision: Poster
Title: Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models
Authors: Xiuying Wei, Yunchen Zhang, Xiangguo Zhang, Ruihao Gong, Shanghang Zhang, Qi Zhang, Fengwei Yu, Xianglong Liu
Affiliations: SenseTime Research; Peking University; SenseTime Research, University of Electronic Science and Technology of China; State Key Lab of Software Development Environment, Beihang University
Conference: nips 2022 (main track)
Decision: Poster
Title: NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies
Authors: Arjun Krishnakumar, Colin White, Arber Zela, Renbo Tu, Mahmoud Safari, Frank Hutter
Affiliations: University of Freiburg, Bosch Center for Artiﬁcial Intelligence; University of Freiburg; University of Toronto; Abacus.AI
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: AutoML;Neural Architecture Search;Zero-Cost Proxies
Decision: Poster
Title: Are AlphaZero-like Agents Robust to Adversarial Perturbations?
Authors: Li-Cheng Lan, Huan Zhang, Ti-Rong Wu, Meng-Yu Tsai, I-Chen Wu, Cho-Jui Hsieh
Affiliations: NYCU; Academia Sinica, Taiwan; CMU; UCLA
Conference: nips 2022 (main track)
Keywords: Reinforcement Learning;AlphaGo;AlphaZero;Robustness
Decision: Poster
Title: Policy Optimization with Linear Temporal Logic Constraints
Authors: Cameron Voloshin, Hoang Le, Swarat Chaudhuri, Yisong Yue
Affiliations: Argo AI, Caltech; UT Austin; Caltech; Argo AI
Conference: nips 2022 (main track)
Keywords: Reinforcement Learning;RL;Linear Temporal Logic;LTL;Constrained;Policy;Optimization;Learning
Decision: Poster
Title: PhysGNN: A Physics--Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image--Guided Neurosurgery
Authors: Yasmin Salehi, Dennis Giannacopoulos
Affiliations: Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada
Conference: nips 2022 (main track)
Keywords: PhysGNN;Physics-Driven;Graph Neural Network;Tissue Deformation;Image-Guided Systems;GraphSAGE;GraphConv;Jumping Knowledge;Physical Simulation;Mechanical Simulation;Finite Element Method;Finite Element Analysis
Decision: Poster
Title: Fine-Grained Semantically Aligned Vision-Language Pre-Training
Authors: Juncheng Li, XIN HE, Longhui Wei, Long Qian, Linchao Zhu, Lingxi Xie, Yueting Zhuang, Qi Tian, Siliang Tang
Affiliations: Zhejiang University; Huawei Cloud
Conference: nips 2022 (main track)
Keywords: Vision-Language Pre-Training;Multimodal Pre-Training;Vision and Language;Cross-Modal Reasoning;Image-Text Retrieval
Decision: Poster
Title: Defining and Characterizing Reward Gaming
Authors: Joar Skalse, Nikolaus Howe, Dmitrii Krasheninnikov, David Krueger
Affiliations: Mila, Université de Montréal; University of Cambridge; University of Oxford
Conference: nips 2022 (main track)
Keywords: reward hacking;reward gaming;reward learning;reward modeling;preference learning;specification;alignment;AI safety;theory;preference ordering;decision theory
Decision: Poster
Title: Diffusion Models as Plug-and-Play Priors
Authors: Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras
Affiliations: Stony Brook University, Stony Brook, NY; Mila, Université de Montréal, Montréal, QC, Canada; Microsoft Research, Redmond, WA
Conference: nips 2022 (main track)
Keywords: diffusion models;conditional generation;image segmentation
Decision: Poster
Title: Offline Multi-Agent Reinforcement Learning with Knowledge Distillation
Authors: Wei-Cheng Tseng, Tsun-Hsuan Johnson Wang, Yen-Chen Lin, Phillip Isola
Affiliations: MIT CSAIL; University of Toronto
Conference: nips 2022 (main track)
Keywords: offline multi-agent reinforcement learning;multi-agent;offline reinforcement learning
Decision: Poster
Title: Reinforcement Learning with Non-Exponential Discounting
Authors: Matthias Schultheis, Constantin Rothkopf, Heinz Koeppl
Affiliations: Centre for Cognitive Science, Technische Universität Darmstadt
Conference: nips 2022 (main track)
Keywords: discounting;reinforcement learning;optimal control;continuous time;human decision making;inverse reinforcement learning
Decision: Poster
Title: Simple Mechanisms for Welfare Maximization in Rich Advertising Auctions
Authors: Gagan Aggarwal, Kshipra Bhawalkar, Aranyak Mehta, Divyarthi Mohan, Alexandros Psomas
Affiliations: Purdue University; Tel Aviv University; Google Research
Conference: nips 2022 (main track)
Keywords: mechanism design;auctions;social welfare;price of anarchy;knapsack
Decision: Poster
Title: Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality
Authors: Jibang Wu, Weiran Shen, Fei Fang, Haifeng Xu
Affiliations: Department of Computer Science, University of Chicago; Gaoling School of Artiﬁcial Intelligence, Renmin University of China; Institute for Software Research, Carnegie Mellon University
Conference: nips 2022 (main track)
Keywords: Stackelberg game;inverse game theory;quantal response;bounded rationality
Decision: Poster
Title: An Algorithm for Learning Switched Linear Dynamics from Data
Authors: Guillaume Berger, Monal Narasimhamurthy, Kandai Watanabe, Morteza Lahijanian, Sriram Sankaranarayanan
Affiliations: University of Colorado Boulder, Boulder, CO, USA
Conference: nips 2022 (main track)
Keywords: Control Systems;System Identification;Machine Learning;Hybrid Systems;Dynamical Systems;Ellipsoidal Algorithm;Separation Oracles
Decision: Poster
Title: Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds
Authors: Zhi Gao, Yuwei Wu, Yunde Jia, Mehrtash Harandi
Affiliations: Guangdong Lab of Machine Perception and Intelligent Computing, Shenzhen MSU-BIT University, China and Beijing Lab of Intellegent Information Technology, School of Computer Science, Beijing Institute of Technology, China; Beijing Lab of Intellegent Information Technology, School of Computer Science, Beijing Institute of Technology, China; Department of Electrical and Computer Systems Eng., Monash University, and Data61, Australia; Guangdong Lab of Machine Perception and Intelligent Computing, Shenzhen MSU-BIT University, China
Conference: nips 2022 (main track)
Keywords: Hyperbolic Space;Feature Augmentation;Distribution Estimation;Neural ODE;Infinite Augmentation
Decision: Poster
Title: UniCLIP: Unified Framework for Contrastive Language-Image Pre-training
Authors: Janghyeon Lee, Jongsuk Kim, Hyounguk Shon, Bumsoo Kim, Seung Hwan Kim, Honglak Lee, Junmo Kim
Affiliations: KAIST; LG AI Research
Conference: nips 2022 (main track)
Keywords: Contrastive Learning;Vision-Language Pre-training;Self-Supervised Learning
Decision: Poster
Title: Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning
Authors: Wenhao Ding, Haohong Lin, Bo Li, DING ZHAO
Affiliations: University of Illinois Urbana-Champaign; Carnegie Mellon University
Conference: nips 2022 (main track)
Keywords: Reinforcement Learning;Generalization;Causal Reasoning
Decision: Poster
Title: Graph Neural Networks with Adaptive Readouts
Authors: David Buterez, Jon Paul Janet, Steven J Kiddle, Dino Oglic, Pietro Liò
Affiliations: Department of Computer Science and Technology, University of Cambridge, UK; CVRM, BioPharmaceuticals R&D, AstraZeneca, Sweden; DS&AI, BioPharmaceuticals R&D, AstraZeneca, UK
Conference: nips 2022 (main track)
Keywords: graph neural networks;readout;aggregator;adaptive;differentiable;gnn;neural;permutation;invariance;invariant;deep sets;graph representation learning
Decision: Poster
Title: Equivariant Graph Hierarchy-Based Neural Networks
Authors: Jiaqi Han, Wenbing Huang, Tingyang Xu, Yu Rong
Affiliations: Department of Computer Science and Technology, Tsinghua University; Gaoling School of Artificial Intelligence, Renmin University of China; Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China; Tencent AI Lab
Conference: nips 2022 (main track)
Keywords: equivariant graph neural network
Decision: Poster
Title: HUMUS-Net: Hybrid Unrolled Multi-scale Network Architecture for Accelerated MRI Reconstruction
Authors: Zalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi
Affiliations: Dept. of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA
Conference: nips 2022 (main track)
Keywords: Vision Transformers;MRI reconstruction;inverse problems;deep learning;fastMRI
Decision: Poster
Title: Multi-LexSum: Real-world Summaries of Civil Rights Lawsuits at Multiple Granularities
Authors: Zejiang Shen, Kyle Lo, Lauren Yu, Nathan Dahlberg, Margo Schlanger, Doug Downey
Affiliations: Northwestern University; University of Michigan; Allen Institute for AI
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Abstractive Summarization;Multi-Document Summarization;Legal Document Summarization;Controlled Summarization
Decision: Highlighted
Title: Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters
Authors: Kamyar Ghasemipour, Shixiang (Shane) Gu, Ofir Nachum
Affiliations: Robotics@Google; Google Research, Brain Team
Conference: nips 2022 (main track)
Keywords: offline reinforcement learning;batch reinforcement learning;ensembles;uncertainty estimation
Decision: Poster
Title: NeuroSchedule: A Novel Effective GNN-based Scheduling Method for High-level Synthesis
Authors: Jun Zeng, Mingyang Kou, Hailong Yao
Affiliations: University of Science and Technology Beijing; Hercules Microelectronics Co., Ltd; Tsinghua University
Conference: nips 2022 (main track)
Keywords: High-level synthesis;Scheduling;Graph neural network;Rank loss
Decision: Poster
Title: Trajectory of Mini-Batch Momentum: Batch Size Saturation and Convergence in High Dimensions
Authors: Kiwon Lee, Andrew Cheng, Elliot Paquette, Courtney Paquette
Affiliations: Department of Mathematics and Statistics, McGill University, Montreal, QC H3A 0B9
Conference: nips 2022 (main track)
Keywords: Stochastic Gradient Descent with Momentum;Random Matrix Theory;High Dimensional Probability
Decision: Poster
Title: Addressing Resource Scarcity across Sign Languages with Multilingual Pretraining and Unified-Vocabulary Datasets
Authors: Gokul NC, Manideep Ladi, Sumit Negi, Prem Selvaraj, Pratyush Kumar, Mitesh Khapra
Affiliations: AI4Bharat; AI4Bharat, IIT Madras; AI4Bharat, IIT Madras, Microsoft Research; IIT Madras
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: sign language
Decision: Highlighted
Title: On Computing Probabilistic Explanations for Decision Trees
Authors: Marcelo Arenas, Pablo Barceló, Miguel Romero Orth, Bernardo Subercaseaux
Affiliations: Department of Computer Science, PUC Chile; Institute for Mathematical and Computational Engineering, PUC Chile; Millenium Institute for Foundational Research on Data, Chile; Carnegie Mellon University, Pittsburgh, USA; Faculty of Engineering and Science, UAI Chile; Millenium Institute for Foundational Research on Data, Chile; CENIA Chile; Institute for Mathematical and Computational Engineering, PUC Chile; Millenium Institute for Foundational Research on Data, Chile; CENIA Chile
Conference: nips 2022 (main track)
Keywords: explainability;formal XAI;decision trees;computational complexity;sufficient reasons
Decision: Poster
Title: Multiagent Q-learning with Sub-Team Coordination
Authors: Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Matthew Taylor, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng
Affiliations: Huawei Noah’s Ark Lab; Beijing Institute of Technology; Peking University; University College London; University of Alberta; Shanghai Jiao Tong University; EPFL; Tianjin University
Conference: nips 2022 (main track)
Keywords: Cooperative multi-agent reinforcement learning;Centralized training with decentralized execution;Value Factorization;Sub-team coordination
Decision: Poster
Title: Dungeons and Data: A Large-Scale NetHack Dataset
Authors: Eric Hambro, Roberta Raileanu, Danielle Rothermel, Vegard Mella, Tim Rocktäschel, Heinrich Küttler, Naila Murray
Affiliations: Meta AI; Inﬂection AI; University College London
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: reinforcement learning;offline RL;RL dataset;procedural generation;human demonstrations
Decision: Poster
Title: First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces
Authors: Michael Jordan, Tianyi Lin, Emmanouil-Vasileios Vlatakis-Gkaragkounis
Affiliations: University of California, Berkeley
Conference: nips 2022 (main track)
Keywords: min-max optimization;riemannian optimization;robust manifold;robust PCA;Geodesic-convex-concave function
Decision: Highlighted
Title: Graph Coloring via Neural Networks for Haplotype Assembly and Viral Quasispecies Reconstruction
Authors: Hansheng Xue, Vaibhav Rajan, Yu Lin
Affiliations: School of Computing, National University of Singapore, Singapore; School of Computing, Australian National University, Canberra, Australia
Conference: nips 2022 (main track)
Keywords: Computational Biology;Genomics;Haplotypes Assembly
Decision: Poster
Title: Optimal Positive Generation via Latent Transformation for Contrastive Learning
Authors: Yinqi Li, Hong Chang, Bingpeng MA, Shiguang Shan, Xilin Chen
Affiliations: Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences; University of Chinese Academy of Sciences
Conference: nips 2022 (main track)
Keywords: Contrastive Learning;Self-Supervised Learning;Generative Model;GAN
Decision: Poster
Title: Exploring Length Generalization in Large Language Models
Authors: Cem Anil, Yuhuai Wu, Anders Andreassen, Aitor Lewkowycz, Vedant Misra, Vinay Ramasesh, Ambrose Slone, Guy Gur-Ari, Ethan Dyer, Behnam Neyshabur
Affiliations: Google Research, Blueshift Team; Google Research, Blueshift Team; University of Toronto, Vector Institute; Google Research
Conference: nips 2022 (main track)
Keywords: length generalization;multi-step reasoning;large language models;out-of-distribution generalization
Decision: Highlighted
Title: FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
Authors: Tian Zhou, Ziqing MA, xue wang, Qingsong Wen, Liang Sun, Tao Yao, Wotao Yin, Rong Jin
Affiliations: Alibaba Group
Conference: nips 2022 (main track)
Keywords: Time Series Forecasting;Legendre Projection;Fourier Transform
Decision: Highlighted
Title: Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders
Authors: Kiarash Zahirnia, Oliver Schulte, Parmis Naddaf, Ke Li
Affiliations: School of Computing Science, Simon Fraser University, Canada
Conference: nips 2022 (main track)
Keywords: Graph Generative Model;Node-Level Properties;Graph-Level Properties. Graph Variational Auto-Encoder
Decision: Poster