hunoutl/paperlists huggingface dataset:
Title: Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer
Authors: Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, Chanyoung Park
Affiliations: KAIST; Yahoo Research; KRICT
Conference: nips 2023 (main track)
Keywords: ML4Materials;AI4Science;Graph Neural Networks
Decision: Poster
Title: MARBLE: Music Audio Representation Benchmark for Universal Evaluation
Authors: Ruibin Yuan, Yinghao Ma, Yizhi Li, Ge Zhang, Xingran Chen, Hanzhi Yin, zhuo le, Yiqi Liu, Jiawen Huang, Zeyue Tian, Binyue Deng, Ningzhi Wang, Chenghua Lin, Emmanouil Benetos, Anton Ragni, Norbert Gyenge, Roger Dannenberg, Wenhu Chen, Gus Xia, Wei Xue, Si Liu, Shi Wang, Ruibo Liu, Yike Guo, Jie Fu
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: music;representation learning;self-supervised learning;evaluation
Decision: Poster
Title: Training on Foveated Images Improves Robustness to Adversarial Attacks
Authors: Muhammad Shah, Aqsa Kashaf, Bhiksha Raj
Affiliations: ByteDance, San Jose, CA 95110; Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA 15213
Conference: nips 2023 (main track)
Keywords: adversarial robustness;computer vision;biologically-inspired;retina;blurring
Decision: Poster
Title: Compressed Video Prompt Tuning
Authors: Bing Li, Jiaxin Chen, Xiuguo Bao, Di Huang
Affiliations: SKLSDE, Beihang University, Beijing, China; IRIP Lab, SCSE, Beihang University, Beijing, China; CNCERT/CC, Beijing, China
Conference: nips 2023 (main track)
Keywords: Compressed video;Action Recognition;Prompt Tuning
Decision: Poster
Title: A Diffusion-Model of Joint Interactive Navigation
Authors: Matthew Niedoba, Jonathan Lavington, Yunpeng Liu, Vasileios Lioutas, Justice Sefas, Xiaoxuan Liang, Dylan Green, Setareh Dabiri, Berend Zwartsenberg, Adam Scibior, Frank Wood
Affiliations: University of British Columbia, Inverted AI; Inverted AI
Conference: nips 2023 (main track)
Keywords: Diffusion Models;Trajecotry Forecasting;Autonomous Vehicles;Motion Forecasting;Simulation
Decision: Poster
Title: Evolving Connectivity for Recurrent Spiking Neural Networks
Authors: Guan Wang, Yuhao Sun, Sijie Cheng, Sen Song
Affiliations: Institute for AI Industry Research (AIR), Tsinghua University; Deptartment of Computer Science and Technology, Tsinghua University; Laboratory of Brain and Intelligence, Tsinghua University; Department of Biomedical Engineering, Tsinghua University
Conference: nips 2023 (main track)
Keywords: neuromorphic computing;spiking neural networks;evolutionary algorithms;inference-only approach;hardware-friendly;robotic locomotion tasks
Decision: Poster
Title: Idempotent Learned Image Compression with Right-Inverse
Authors: Yanghao Li, Tongda Xu, Yan Wang, Jingjing Liu, Ya-Qin Zhang
Affiliations: Institute for AI Industry Research (AIR), Tsinghua University
Conference: nips 2023 (main track)
Keywords: learned image compression;idempotent compression;right-inverse
Decision: Poster
Title: Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics
Authors: Liming Wu, Zhichao Hou, Jirui Yuan, Yu Rong, Wenbing Huang
Affiliations: Gaoling School of Artificial Intelligence, Renmin University of China; Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China; Institute for AI Industry Research (AIR), Tsinghua University; Tencent AI Lab; Department of Computer Science, North Carolina State University
Conference: nips 2023 (main track)
Keywords: Equivariance;Spatio-Temporal GNNs;Physical Dynamics
Decision: Poster
Title: Representational Strengths and Limitations of Transformers
Authors: Clayton Sanford, Daniel Hsu, Matus Telgarsky, Matus Telgarsky
Affiliations: Courant Institute, New York University, New York, NY 10012; Department of Computer Science, Columbia University, New York, NY 10027
Conference: nips 2023 (main track)
Keywords: self-attention;approximation theory;communication complexity
Decision: Poster
Title: Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework
Authors: Weiduo Liao, Ying Wei, Mingchen Jiang, Qingfu Zhang, Hisao Ishibuchi
Affiliations: Department of Computer Science, City University of Hong Kong; Department of Computer Science and Engineering, Southern University of Science and Technology; Department of Computer Science, City University of Hong Kong; Department of Computer Science and Engineering, Southern University of Science and Technology
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: continual learning
Decision: Poster
Title: Fairness Aware Counterfactuals for Subgroups
Authors: Loukas Kavouras, Konstantinos Tsopelas, Giorgos Giannopoulos, Dimitris Sacharidis, Eleni Psaroudaki, Nikolaos Theologitis, Dimitrios Rontogiannis, Dimitris Fotakis, Ioannis Emiris
Affiliations: ULB; NKUA & IMSI / Athena RC; NTUA & Archimedes / Athena RC; NTUA & IMSI / Athena RC; IMSI / Athena RC
Conference: nips 2023 (main track)
Keywords: subgroup fairness;recourse;counterfactual explanations
Decision: Poster
Title: Im-Promptu: In-Context Composition from Image Prompts
Authors: Bhishma Dedhia, Michael Chang, Jake Snell, Tom Griffiths, Niraj Jha
Affiliations: Department of Electrical and Computer Engineering, Princeton University; Department of Computer Science, Princeton University; Department of Computer Science, Princeton University and Department of Psychology, Princeton University; Department of Computer Science, University of California Berkeley
Conference: nips 2023 (main track)
Keywords: in-context learning;compositionality;generative models
Decision: Poster
Title: ChimpACT: A Longitudinal Dataset for Understanding Chimpanzee Behaviors
Authors: Xiaoxuan Ma, Stephan Kaufhold, Jiajun Su, Wentao Zhu, Jack Terwilliger, Andres Meza, Yixin Zhu, Federico Rossano, Yizhou Wang
Affiliations: Institute for Artificial Intelligence, Peking University, China; Nat’l Eng. Research Center of Visual Technology, China; Department of Cognitive Science, University of California, San Diego, USA; Institute for Artificial Intelligence, Peking University, China; CFCS, School of Computer Science, Peking University, China
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Computer Vision;Non-human primates behavior
Decision: Poster
Title: Schema-learning and rebinding as mechanisms of in-context learning and emergence
Authors: Sivaramakrishnan Swaminathan, Antoine Dedieu, Rajkumar Vasudeva Raju, Murray Shanahan, Miguel Lazaro-Gredilla, Dileep George
Affiliations: Google DeepMind
Conference: nips 2023 (main track)
Keywords: mechanistic interpretability;in-context learning;emergence;large language models
Decision: Spotlight
Title: $\mathbf{\mathbb{E}^{FWI}}$: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties
Authors: Shihang Feng, Hanchen Wang, Chengyuan Deng, Yinan Feng, Yanhua Liu, Min Zhu, Peng Jin, Yinpeng Chen, Youzuo Lin
Affiliations: Rutgers University; Colorado School of Mines; Microsoft; University of North Carolina at Chapel Hill; Los Alamos National Laboratory; The Pennsylvania State University; University of Pennsylvania
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: elastic; full waveform inversion; seismic; open dataset; data-driven
Decision: Poster
Title: Ego4D Goal-Step: Toward Hierarchical Understanding of Procedural Activities
Authors: Yale Song, Eugene Byrne, Tushar Nagarajan, Huiyu Wang, Miguel Martin, Lorenzo Torresani
Affiliations: Fundamental AI Research (FAIR), Meta
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: procedural activity recognition;egocentric perception;hierarchical activity labels
Decision: Spotlight
Title: On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails
Authors: Yi Feng, Hu Fu, Qun Hu, Ping Li, Ioannis Panageas, bo peng, Xiao Wang
Affiliations: Shanghai University of Finance and Economics (SUFE)†; University of California, Irvine; Shanghai University of Finance and Economics (SUFE)
Conference: nips 2023 (main track)
Keywords: zero sum game;time-varying game;optimistic gradient;extra gradient;momentum method
Decision: Poster
Title: HotBEV: Hardware-oriented Transformer-based Multi-View 3D Detector for BEV Perception
Authors: Peiyan Dong, Zhenglun Kong, Xin Meng, Pinrui Yu, Yifan Gong, Geng Yuan, Hao Tang, Yanzhi Wang
Affiliations: Northeastern University; Carnegie Mellon University; University of Georgia
Conference: nips 2023 (main track)
Keywords: Multi-view 3D detection;Hardware efficiency;Autonomous driving
Decision: Poster
Title: Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release
Authors: Abhishek Singh, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
Affiliations: MIT Media Lab; MIT Media Lab, MGH, Harvard Medical School, Sony AI
Conference: nips 2023 (main track)
Keywords: privacy;deep learning;neural networks;adversarial learning;reconstruction guarantees;collaborative inference;MLaaS
Decision: Poster
Title: Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions
Authors: Ruofan Wu, Jiawei Qiao, Mingzhe Wu, Wen Yu, Ming Zheng, Tengfei LIU, Tianyi Zhang, Weiqiang Wang
Affiliations: Coupang; Ant Group; Fudan University
Conference: nips 2023 (main track)
Keywords: Survival Analysis;Theory;Semiparametric statistics
Decision: Poster
Title: Addressing Negative Transfer in Diffusion Models
Authors: Hyojun Go, Kim, Yunsung Lee, Seunghyun Lee, Shinhyeok Oh, Hyeongdon Moon, Seungtaek Choi
Affiliations: Wrtn Technologies; Yanolja; Riiid; Twelvelabs; EPFL
Conference: nips 2023 (main track)
Keywords: Diffusion Models;Multi-Task Learning
Decision: Poster
Title: Post Hoc Explanations of Language Models Can Improve Language Models
Authors: Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh, Himabindu Lakkaraju
Affiliations: Harvard University; University of California, Irvine; University of Illinois Urbana-Champaign; Google Inc
Conference: nips 2023 (main track)
Keywords: Machine Learning Explainability;Large Language Models
Decision: Poster
Title: DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning
Authors: kangyang Luo, Shuai Wang, Yexuan Fu, Xiang Li, Yunshi Lan, Ming Gao
Affiliations: School of Statistics, East China Normal University, Shanghai, China; School of Data Science & Engineering, East China Normal University, Shanghai, China
Conference: nips 2023 (main track)
Keywords: Federated Learning;Data Heterogeneity;Model Heterogeneity;Data-Free Distillation
Decision: Poster
Title: CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society
Authors: Guohao Li, Hasan Hammoud, Hani Itani, Dmitrii Khizbullin, Bernard Ghanem
Affiliations: King Abdullah University of Science and Technology (KAUST)
Conference: nips 2023 (main track)
Keywords: Communicative Agents;Large Language Models;AI Society;Role-Playing;Society of Mind
Decision: Poster
Title: Undirected Probabilistic Model for Tensor Decomposition
Authors: Zerui Tao, Toshihisa Tanaka, Qibin Zhao
Affiliations: RIKEN AIP, Tokyo University of Agriculture and Technology; Tokyo University of Agriculture and Technology, RIKEN AIP
Conference: nips 2023 (main track)
Keywords: Tensor decomposition;tensor completion;probabilistic methods
Decision: Poster
Title: From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces
Authors: Peter Shaw, Mandar Joshi, James Cohan, Jonathan Berant, Panupong Pasupat, Hexiang Hu, Urvashi Khandelwal, Kenton Lee, Kristina N Toutanova
Affiliations: Google; Google DeepMind
Conference: nips 2023 (main track)
Keywords: instruction following;web tasks;user interface tasks;vision and language;representation learning;reinforcement learning;imitation learning;tree search;language grounding;web agents;computer control
Decision: Spotlight
Title: DP-HyPO: An Adaptive Private Framework for Hyperparameter Optimization
Authors: Hua Wang, Sheng Gao, Huanyu Zhang, Weijie Su, Milan Shen
Affiliations: Department of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA 19104; Meta Platforms, Inc., New York, NY 10003; Meta Platforms, Inc., Menlo Park, CA 94025
Conference: nips 2023 (main track)
Keywords: Differential Privacy;Hyperparameter Tuning;Deep Learning
Decision: Poster
Title: Why Does Sharpness-Aware Minimization Generalize Better Than SGD?
Authors: Zixiang Chen, Junkai Zhang, Yiwen Kou, Xiangning Chen, Cho-Jui Hsieh, Quanquan Gu
Affiliations: Department of Computer Science, University of California, Los Angeles, Los Angeles, CA 90095
Conference: nips 2023 (main track)
Keywords: Sharpness Aware Algorithm;Deep Learning Theory
Decision: Poster
Title: Learning via Wasserstein-Based High Probability Generalisation Bounds
Authors: Paul Viallard, Maxime Haddouche, Umut Simsekli, Benjamin Guedj
Affiliations: Inria and University College London, France and UK; Inria, University College London and Université de Lille, France; Inria, CNRS, Ecole Normale Supérieure, PSL Research University, Paris, France
Conference: nips 2023 (main track)
Keywords: Wasserstein;PAC-Bayes;Generalisation Bound;Algorithm
Decision: Poster
Title: A General Framework for Equivariant Neural Networks on Reductive Lie Groups
Authors: Ilyes Batatia, Mario Geiger, Jose Munoz, Tess Smidt, Lior Silberman, Christoph Ortner
Affiliations: Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA; Engineering Laboratory, University of Cambridge, Cambridge, CB2 1PZ UK; Department of Chemistry, ENS Paris-Saclay, Université Paris-Saclay, 91190 Gif-sur-Yvette, France; Department of Mathematics, University of British Columbia, Vancouver, BC, Canada V6T 1Z2; EIA University, FTA Group, Antioquia, Colombia
Conference: nips 2023 (main track)
Keywords: equivariance;point clouds;machine learning;particle physics
Decision: Poster
Title: Learning Large Graph Property Prediction via Graph Segment Training
Authors: Kaidi Cao, Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi
Affiliations: Stanford University; Google; UIUC
Conference: nips 2023 (main track)
Keywords: Graph Neural Networks;Graph Property Prediction
Decision: Poster
Title: ReTR: Modeling Rendering Via Transformer for Generalizable Neural Surface Reconstruction
Authors: Yixun Liang, Hao He, Yingcong Chen
Affiliations: The Hong Kong University of Science and Technology; The Hong Kong University of Science and Technology (Guangzhou)
Conference: nips 2023 (main track)
Keywords: 3D vision;3D reconstruction;Generalizable Neural Surface Reconstruction
Decision: Poster
Title: Deep learning with kernels through RKHM and the Perron-Frobenius operator
Authors: Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri
Affiliations: NTT Network Service Systems Laboratories / RIKEN AIP, Tokyo, Japan; Aix-Marseille University, CNRS, LIS, Marseille, France; RIKEN AIP / Keio University, Tokyo, Japan
Conference: nips 2023 (main track)
Keywords: kernel method. generalization bound. C*-algebra. Perron-Frobenius operator and Koopman operator.
Decision: Poster
Title: A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks
Authors: Sara Babakniya, Zalan Fabian, Chaoyang He, Mahdi Soltanolkotabi, Salman Avestimehr
Affiliations: Computer Science, University of Southern California, Los Angeles, CA; Electrical and Computer Engineering, University of Southern California, Los Angeles, CA; FedML, Sunnyvale, CA
Conference: nips 2023 (main track)
Keywords: federated learning;class incremental learning;generative models;data-free;continual learning
Decision: Poster
Title: SoTTA: Robust Test-Time Adaptation on Noisy Data Streams
Authors: Taesik Gong, Yewon Kim, Taeckyung Lee, Sorn Chottananurak, Sung-Ju Lee
Affiliations: Nokia Bell Labs; KAIST
Conference: nips 2023 (main track)
Keywords: test-time adaptation;domain adaptation;deep learning;machine learning
Decision: Poster
Title: Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals
Authors: Tam Nguyen, Tan Nguyen, Richard Baraniuk
Affiliations: Department of Mathematics, National University of Singapore, Singapore; Department of Electrical & Computer Engineering, Rice University, Houston, USA
Conference: nips 2023 (main track)
Keywords: transformers;self-attention;total variation;nonlocal functionals;over-smoothing
Decision: Poster
Title: QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution
Authors: Haotong Qin, Yulun Zhang, Yifu Ding, Yifan liu, Xianglong Liu, Martin Danelljan, Fisher Yu
Affiliations: ETH Zürich; Beihang University
Conference: nips 2023 (main track)
Keywords: Super Resolution;Model Quantization;Deep Learning
Decision: Spotlight
Title: Differentiable and Stable Long-Range Tracking of Multiple Posterior Modes
Authors: Ali Younis, Erik Sudderth
Affiliations: Department of Computer Science, University of California, Irvine
Conference: nips 2023 (main track)
Keywords: particle;filter;mixture;belief propagation;nonparametric;deep learning;generative;discriminative;graphical model;multiple modes;mutli-modal
Decision: Poster
Title: Learning Interpretable Low-dimensional Representation via Physical Symmetry
Authors: Xuanjie Liu, Daniel Chin, Yichen Huang, Gus Xia
Affiliations: Mohamed bin Zayed University of Artificial Intelligence, New York University Shanghai; Mohamed bin Zayed University of Artificial Intelligence
Conference: nips 2023 (main track)
Keywords: Physics Symmetry;Time series data;Self-supervised Learning;Representation Augmentation
Decision: Poster
Title: PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis
Authors: Ali TehraniJamsaz, Quazi Ishtiaque Mahmud, Le Chen, Nesreen K. Ahmed, Ali Jannesari
Affiliations: Intel Labs, Santa Clara, CA, USA; Iowa State University, Ames, Iowa, USA
Conference: nips 2023 (main track)
Keywords: program representation;graph representation;program analysis;graph neural networks;performance optimization
Decision: Poster
Title: RECESS Vaccine for Federated Learning: Proactive Defense Against Model Poisoning Attacks
Authors: Haonan Yan, Wenjing Zhang, Qian Chen, Xiaoguang Li, Wenhai Sun, HUI LI, Xiaodong Lin
Affiliations: University of Guelph; Xidian University; Purdue University
Conference: nips 2023 (main track)
Keywords: Federated Learning;Model Poisoning Attacks;Proactive Detection;Robust Aggregation;Benign Outlier Identification
Decision: Poster
Title: DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models
Authors: Tao Yang, Yuwang Wang, Yan Lu, Nanning Zheng
Affiliations: Microsoft Research Asia; Tsinghua University, Shanghai AI Laboratory; National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University
Conference: nips 2023 (main track)
Keywords: Diffusion Probabilistic Model;Disentangled representation
Decision: Poster
Title: ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence
Authors: Ben Dai, Yixuan Qiu
Affiliations: School of Statistics and Management, Shanghai University of Finance and Economics; Department of Statistics, The Chinese University of Hong Kong
Conference: nips 2023 (main track)
Keywords: coordinate descent;linear convergence;primal-dual methods;empirical risk minimization;linear constraints;quantile regression
Decision: Poster
Title: Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models
Authors: Sungik Choi, Hankook Lee, Honglak Lee, Moontae Lee
Affiliations: LG AI Research, University of Illinois Chicago; LG AI Research
Conference: nips 2023 (main track)
Keywords: Novelty detection;out-of-distribution detection;consistency models;diffusion models;score-based generative models
Decision: Poster
Title: INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis
Authors: Shih-Cheng Huang, Zepeng Huo, Ethan Steinberg, Chia-Chun Chiang, Curtis Langlotz, Matthew Lungren, Serena Yeung, Nigam Shah, Jason Fries
Affiliations: Stanford University; Clinical Excellence Research Center, Stanford University, Technology and Digital Solutions, Stanford Healthcare; Microsoft; Mayo Clinic
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Multimodal Fusion;Medical Imaging;Electronic Health Records
Decision: Poster
Title: Estimating Noise Correlations Across Continuous Conditions With Wishart Processes
Authors: Amin Nejatbakhsh, Isabel Garon, Alex Williams
Affiliations: Center for Neural Science, New York University, New York, NY; Center for Computational Neuroscience, Flatiron Institute, New York, NY
Conference: nips 2023 (main track)
Keywords: Noise Correlations;Wishart Process;Variational Inference
Decision: Poster
Title: Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback
Authors: Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
Affiliations: University of Virginia; Yale University; University of Southern California
Conference: nips 2023 (main track)
Keywords: two-player zero-sum Markov game;last-iterate convergence;path convergence;learning in games
Decision: Poster
Title: ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning
Authors: Julia Kaltenborn, Charlotte Lange, Venkatesh Ramesh, Philippe Brouillard, Yaniv Gurwicz, Chandni Nagda, Jakob Runge, Peer Nowack, David Rolnick
Affiliations: Mila Quebec AI Institute & University of Montreal; Intel Labs; Mila Quebec AI Institute & McGill University; German Aerospace Center & Technische Universität Berlin; Mila Quebec AI Institute & University of Osnabrück; University of Illinois at Urbana-Champaign; Karlsruhe Institute of Technology
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: large-scale dataset;climate models;climate change;emulator;climate-science;climate-projection
Decision: Poster
Title: The Pick-to-Learn Algorithm: Empowering Compression for Tight Generalization Bounds and Improved Post-training Performance
Authors: Dario Paccagnan, Marco Campi, Simone Garatti
Affiliations: Dip. di Elettronica Informazione e Bioingegneria, Politecnico di Milano; Dip. di Ingegnerira dell’Informazione, Università di Brescia; Dept. of Computing, Imperial College London
Conference: nips 2023 (main track)
Keywords: Statistical learning theory;Compression theory;Generalization bounds
Decision: Spotlight
Title: A Unified Framework for U-Net Design and Analysis
Authors: Christopher Williams, Fabian Falck, George Deligiannidis, Chris C Holmes, Arnaud Doucet, Saifuddin Syed
Affiliations: University of Oxford; University of Oxford, The Alan Turing Institute
Conference: nips 2023 (main track)
Keywords: U-Net;ResNet;Multi-ResNet;Generalised U-Net;Wavelets;Diffusion models;Generative modelling;PDE Modelling;Image Segmentation
Decision: Poster
Title: Accelerated On-Device Forward Neural Network Training with Module-Wise Descending Asynchronism
Authors: Xiaohan Zhao, Hualin Zhang, Zhouyuan Huo, Bin Gu
Affiliations: Currently at Google. No work performed at Google.; School of Artificial Intelligence, Jilin University, China; Nanjing University of Information Science and Technology, China; Mohamed bin Zayed University of Artificial Intelligence, UAE
Conference: nips 2023 (main track)
Keywords: asynchronous algorithm;one-device learning;forward gradient descent;directional derivative;forward algorithms
Decision: Poster
Title: Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation
Authors: Wengong Jin, Siranush Sarkizova, Xun Chen, Nir HaCohen, Caroline Uhler
Affiliations: Broad Institute of MIT and Harvard
Conference: nips 2023 (main track)
Keywords: Energy-based Models;Denoising Score Matching;Equivariant Neural Networks
Decision: Poster
Title: Zeroth-Order Methods for Nondifferentiable, Nonconvex, and Hierarchical Federated Optimization
Authors: Yuyang Qiu, Uday Shanbhag, Farzad Yousefian
Affiliations: Dept. of Industrial and Systems Engg., Rutgers University; Dept. of Industrial and Manufacturing Engg., Pennsylvania State University
Conference: nips 2023 (main track)
Keywords: Federated Learning;Nonsmooth Optimization;Nonconvex Optimization;Bilevel Optimization
Decision: Poster