hunoutl/paperlists huggingface dataset:
Title: Meta-Learning with Neural Bandit Scheduler
Authors: Yunzhe Qi, Yikun Ban, Tianxin Wei, Jiaru Zou, Huaxiu Yao, Jingrui He
Affiliations: University of Illinois at Urbana-Champaign, Champaign, IL; University of North Carolina at Chapel Hill, Chapel Hill, NC
Conference: nips 2023 (main track)
Keywords: Meta Learning;Contextual Bandits
Decision: Poster
Title: Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models
Authors: Tianxiang Gao, Xiaokai Huo, Hailiang Liu, Hongyang Gao
Affiliations: Iowa State University
Conference: nips 2023 (main track)
Keywords: Gradient descent;deep equilibrium model;Gaussian processes;kernel methods;NNGP;NTK
Decision: Poster
Title: Topology-Aware Uncertainty for Image Segmentation
Authors: Saumya Gupta, Yikai Zhang, Xiaoling Hu, Prateek Prasanna, Chao Chen
Affiliations: Stony Brook University, NY, USA; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, MA, USA; Stony Brook University, NY, USA; Morgan Stanley, NY, USA
Conference: nips 2023 (main track)
Keywords: Topological Representation;Discrete Morse Theory;Structural Uncertainty;Image Segmentation
Decision: Poster
Title: Puzzlefusion: Unleashing the Power of Diffusion Models for Spatial Puzzle Solving
Authors: Sepidehsadat (Sepid) Hossieni, Mohammad Amin Shabani, Saghar Irandoust, Yasutaka Furukawa
Affiliations: Simon Fraser University
Conference: nips 2023 (main track)
Keywords: Diffusion;Jigsaw;puzzle solving
Decision: Spotlight
Title: NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks
Authors: Seokil Ham, Jungwuk Park, Dong-Jun Han, Jaekyun Moon
Conference: nips 2023 (main track)
Keywords: Multi-exit Neural Network;Adversarial Training;Knowledge Distillation;Adversarial Transferability
Decision: Poster
Title: Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation
Authors: Richard Gao, Michael Deistler, Jakob H Macke
Affiliations: Machine Learning in Science, Excellence Cluster Machine Learning, University of Tübingen; Tübingen AI Center; Machine Learning in Science, Excellence Cluster Machine Learning, University of Tübingen; Tübingen AI Center; Department Empirical Inference, Max Planck Institute for Intelligent Systems
Conference: nips 2023 (main track)
Keywords: simulation-based inference;generalized bayesian inference;neural network;machine learning for science
Decision: Poster
Title: Aiming towards the minimizers: fast convergence of SGD for overparametrized problems
Authors: Chaoyue Liu, Dmitriy Drusvyatskiy, Misha Belkin, Damek Davis, Yian Ma
Affiliations: School of Operations Research and Information Engineering, Cornell University; Mathematics Department, University of Washington; Halicioğlu Data Science Institute, University of California San Diego
Conference: nips 2023 (main track)
Keywords: Polyak-Lojasiewicz condition;SGD;interpolation;fast convergence
Decision: Poster
Title: Stability Guarantees for Feature Attributions with Multiplicative Smoothing
Authors: Anton Xue, Rajeev Alur, Eric Wong
Affiliations: Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA 19104
Conference: nips 2023 (main track)
Keywords: Feature Attribution;Smoothing;Explainable;Interpretable;Provable Guarantees
Decision: Poster
Title: AdANNS: A Framework for Adaptive Semantic Search
Authors: Aniket Rege, Aditya Kusupati, Sharan Ranjit S, Alan Fan, Qingqing Cao, Sham Kakade, Prateek Jain, Ali Farhadi
Affiliations: Harvard University; University of Washington; Google Research
Conference: nips 2023 (main track)
Keywords: Semantic Search;Approximate Nearest Neighbor Search;Large-scale search;Representation Learning
Decision: Poster
Title: A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset
Authors: Zahra Gharaee, ZeMing Gong, Nicholas Pellegrino, Iuliia Zarubiieva, Joakim Bruslund Haurum, Scott Lowe, Jaclyn McKeown, Chris Ho, Joschka McLeod, Yi-Yun Wei, Jireh Agda, Sujeevan Ratnasingham, Dirk Steinke, Angel Chang, Graham Taylor, Paul Fieguth
Affiliations: Simon Fraser University; Centre for Biodiversity Genomics, University of Guelph; University of Waterloo; Alberta Machine Intelligence Institute (Amii); Aalborg University and Pioneer Centre for AI; Vector Institute for AI, University of Guelph; University of Guelph; Dalhousie University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Insect biodiversity;Image classification;Class-imbalance distribution;Fine-grained classification;Taxonomic classification;DNA barcode sequences;Barcode Index Number (BIN)
Decision: Poster
Title: Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses
Authors: Jacob Granley, Tristan Fauvel, Matthew Chalk, Michael Beyeler
Affiliations: Department of Computer Science, Department of Psychological & Brain Sciences, University of California, Santa Barbara; Department of Computer Science, University of California, Santa Barbara; Institut de la Vision, Sorbonne Université; Institut de la Vision, Sorbonne Université, Now with Quinten Health
Conference: nips 2023 (main track)
Keywords: Brain Computer Interfaces;BCI;Stimulus Encoding;Visual Prostheses;Bayesian Optimization;Preferential Bayesian Optimization;Human-in-the-loop Optimization;Sensory Neuroprostheses;Neuroprostheses;Patient-Specific Optimization;Latent Space Bayesian Optimization
Decision: Poster
Title: On kernel-based statistical learning theory in the mean field limit
Authors: Christian Fiedler, Michael Herty, Sebastian Trimpe
Affiliations: Institute for Data Science in Mechanical Engineering (DSME), RWTH Aachen University, Aachen, Germany; Institute for Geometry and Practical Mathematics (IGPM), RWTH Aachen University, Aachen, Germany
Conference: nips 2023 (main track)
Keywords: Reproducing Kernel Hilbert Spaces;Kernel Methods;Mean Field Limit;Interacting Particle Systems;Support Vector Machines;Statistical Learning Theory
Decision: Poster
Title: Sparse Parameterization for Epitomic Dataset Distillation
Authors: Xing Wei, Anjia Cao, Funing Yang, Zhiheng Ma
Affiliations: School of Software Engineering, Xi’an Jiaotong University; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences
Conference: nips 2023 (main track)
Keywords: Dataset Distillation;Dataset Condensation;Sparse Coding;Dictionary Learning
Decision: Poster
Title: The ToMCAT Dataset
Authors: Adarsh Pyarelal, Eric Duong, Caleb Shibu, Paulo Soares, Savannah Boyd, Payal Khosla, Valeria A. Pfeifer, Diheng Zhang, Eric Andrews, Rick Champlin, Vincent Raymond, Meghavarshini Krishnaswamy, Clayton Morrison, Emily Butler, Kobus Barnard
Affiliations: Lum AI; Department of Psychology, University of Arizona; Department of Computer Science, University of Arizona; Department of Linguistics, University of Arizona; School of Information, University of Arizona; Norton School of Human Ecology, University of Arizona
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: multimodal;dataset;Minecraft;fNIRS;EEG;human teams
Decision: Poster
Title: PanoGRF: Generalizable Spherical Radiance Fields for Wide-baseline Panoramas
Authors: Zheng Chen, Yan-Pei Cao, Yuan-Chen Guo, Chen Wang, Ying Shan, Song-Hai Zhang
Affiliations: ARC Lab, Tencent PCG; Tsinghua University
Conference: nips 2023 (main track)
Keywords: neural rendering;neural radiance field;novel view synthesis;panorama;360-degree image
Decision: Poster
Title: Depth-discriminative Metric Learning for Monocular 3D Object Detection
Authors: Wonhyeok Choi, Mingyu Shin, Sunghoon Im
Affiliations: DGIST, Daegu, Korea
Conference: nips 2023 (main track)
Keywords: Monocular 3D object detection;Autonomous driving;Recognition;Regression;Metric learning
Decision: Poster
Title: Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback
Authors: Canzhe Zhao, Ruofeng Yang, Baoxiang Wang, Xuezhou Zhang, Shuai Li
Affiliations: Boston University; The Chinese University of Hong Kong, Shenzhen; Shanghai Jiao Tong University
Conference: nips 2023 (main track)
Keywords: adversarial low-rank mdps
Decision: Poster
Title: Rethinking the Role of Token Retrieval in Multi-Vector Retrieval
Authors: Jinhyuk Lee, Zhuyun Dai, Sai Meher Karthik Duddu, Tao Lei, Iftekhar Naim, Ming-Wei Chang, Vincent Zhao
Affiliations: Google DeepMind
Conference: nips 2023 (main track)
Keywords: information retrieval;document retrieval;natural language processing
Decision: Poster
Title: Self-Supervised Learning with Lie Symmetries for Partial Differential Equations
Authors: Grégoire Mialon, Quentin Garrido, Hannah Lawrence, Danyal Rehman, Yann LeCun, Bobak Kiani, Bobak Kiani
Affiliations: MIT; Meta, FAIR; Meta, FAIR, MIT; Meta, FAIR, Univ Gustave Eiffel, CNRS, LIGM; Meta, FAIR, NYU
Conference: nips 2023 (main track)
Keywords: Self-supervised learning;partial differential equations;Lie symmetries;data augmentation
Decision: Poster
Title: Large Language Models are Fixated by Red Herrings: Exploring Creative Problem Solving and Einstellung Effect using the Only Connect Wall Dataset
Authors: Saeid Alavi Naeini, Raeid Saqur, Mozhgan Saeidi, John Giorgi, Babak Taati
Affiliations: Department of Biomedical Data Science, Stanford University; Department of Computer Science, University of Toronto; Donnelly Centre for Cellular & Biomolecular Research, University of Toronto; Kite Research Institute, Toronto Rehabilitation Institute, University Health Network; Department of Computer Science, University of Toronto; Institute of Biomedical Engineering, University of Toronto; Vector Institute for AI; Kite Research Institute, Toronto Rehabilitation Institute, University Health Network
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Natural language processing;Large language models;creative problem solving;creativity;Remote Associates Test;cognitive neuroscience;artificial general intelligence;human-imitative AI;GPT;in-context learning
Decision: Poster
Title: Structured Semidefinite Programming for Recovering Structured Preconditioners
Authors: Arun Jambulapati, Jerry Li, Christopher Musco, Kirankumar Shiragur, Aaron Sidford, Kevin Tian
Affiliations: New York University; University of Texas at Austin‡; Simons Institute∗; Broad Institute of MIT and Harvard†; Stanford University; Microsoft Research
Conference: nips 2023 (main track)
Keywords: preconditioning;semidefinite programming;numerical linear algebra;linear regression;semi-random models
Decision: Poster
Title: A Definition of Continual Reinforcement Learning
Authors: David Abel, Andre Barreto, Benjamin Van Roy, Doina Precup, Hado van Hasselt, Satinder Singh
Affiliations: Google DeepMind
Conference: nips 2023 (main track)
Keywords: Continual Reinforcement Learning;Reinforcement Learning;Lifelong Reinforcement Learning;Continual Learning
Decision: Poster
Title: Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations
Authors: Hyeonjeong Ha, Minseon Kim, Sung Ju Hwang
Affiliations: Korea Advanced Institute of Science and Technology (KAIST); Korea Advanced Institute of Science and Technology (KAIST), DeepAuto.ai
Conference: nips 2023 (main track)
Keywords: neural architecture search;generalization;efficiency;zero-cost proxy
Decision: Poster
Title: Continuous Parametric Optical Flow
Authors: Jianqin Luo, Zhexiong Wan, yuxin mao, Bo Li, Yuchao Dai
Affiliations: Northwestern Polytechnical University, Xi’an, China; Northwestern Polytechnical University, Xi’an, China; Shaanxi Key Laboratory of Information Acquisition and Processing
Conference: nips 2023 (main track)
Keywords: optical flow;point trajectories;continuous motion;neural ordinary differential equation
Decision: Poster
Title: CSMeD: Bridging the Dataset Gap in Automated Citation Screening for Systematic Literature Reviews
Authors: Wojciech Kusa, Oscar E. Mendoza, Matthias Samwald, Petr Knoth, Allan Hanbury
Affiliations: University Milano-Bicocca; TU Wien; Medical University of Vienna; The Open University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: evaluation;NLP;meta-dataset;citation screening;systematic reviews
Decision: Poster
Title: Large Language Models Are Semi-Parametric Reinforcement Learning Agents
Authors: Danyang Zhang, Lu Chen, Situo Zhang, Hongshen Xu, Zihan Zhao, Kai Yu
Affiliations: X-LANCE Lab, Department of Computer Science and Engineering, MoE Key Lab of Artificial Intelligence, SJTU AI Institute, Shanghai Jiao Tong University, Shanghai, China; Suzhou Laboratory, Suzhou, China; X-LANCE Lab, Department of Computer Science and Engineering, MoE Key Lab of Artificial Intelligence, SJTU AI Institute, Shanghai Jiao Tong University, Shanghai, China
Conference: nips 2023 (main track)
Keywords: Learning from Experiences;LLM;Reinforcement Learning;Decision Making;Experience Memory
Decision: Poster
Title: Optimal testing using combined test statistics across independent studies
Authors: Lasse Vuursteen, Botond Szabo, Aad van der Vaart, Harry van Zanten
Affiliations: Mathematics Department, Vrije Universiteit Amsterdam; Delft Institute of Applied Mathematics, Delft University of Technology; Department of Decision Sciences and Institute for Data Science and Analytics, Bocconi University
Conference: nips 2023 (main track)
Keywords: testing;meta-analysis;p-values;e-values;optimal;combining trials
Decision: Poster
Title: SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning
Authors: Yifan Yang, Peiyao Xiao, Kaiyi Ji
Affiliations: Department of Computer Science and Engineering, University at Buffalo, Buffalo, NY 14260
Conference: nips 2023 (main track)
Keywords: Federated bilevel optimization;federated hypergradient;communication efficiency;system-level heterogeneity;linear speedup
Decision: Spotlight
Title: Local Convergence of Gradient Methods for Min-Max Games: Partial Curvature Generically Suffices
Authors: Guillaume Wang, Lénaïc Chizat
Affiliations: Institute of Mathematics, École polytechnique fédérale de Lausanne, Station Z, CH-1015 Lausanne
Conference: nips 2023 (main track)
Keywords: Gradient methods;min-max optimization;spectral analysis;last-iterate convergence
Decision: Poster
Title: TrojLLM: A Black-box Trojan Prompt Attack on Large Language Models
Authors: Jiaqi Xue, Mengxin Zheng, Ting Hua, Yilin Shen, Yepeng Liu, Ladislau Bölöni, Qian Lou
Affiliations: Indiana University Bloomington; Samsung Research America; University of Central Florida
Conference: nips 2023 (main track)
Keywords: Large Language Model;Trojan Attack;Adversary Attack;Prompt Injection;GPT-4;Black-box
Decision: Poster
Title: Leveraging the two-timescale regime to demonstrate convergence of neural networks
Authors: Pierre Marion, Pierre Marion, Raphaël Berthier
Affiliations: Sorbonne Université, CNRS, Laboratoire de Probabilités, Statistique et Modélisation, LPSM, F-75005 Paris, France; EPFL, Switzerland
Conference: nips 2023 (main track)
Keywords: neural networks;non-convex optimization;gradient flow;convergence proof;two-timescale algorithm
Decision: Poster
Title: A Unified Conditional Framework for Diffusion-based Image Restoration
Authors: Yi Zhang, Xiaoyu Shi, Dasong Li, Xiaogang Wang, Jian Wang, Hongsheng Li
Affiliations: CUHK MMLab; Snap Research; Centre for Perceptual and Interactive Intelligence, Shanghai AI Laboratory
Conference: nips 2023 (main track)
Keywords: image restoration;diffusion model;denoising;deblurring;JPEG restoration
Decision: Poster
Title: VidChapters-7M: Video Chapters at Scale
Authors: Antoine Yang, Arsha Nagrani, Ivan Laptev, Josef Sivic, Cordelia Schmid
Affiliations: VGG, University of Oxford; Czech Institute of Informatics, Robotics and Cybernetics at the Czech Technical University in Prague; Inria Paris, DI ENS, CNRS, PSL Research University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Vision and Language;Computer Vision;Video Chapter Generation;Dense Video Captioning
Decision: Poster
Title: SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation
Authors: Haobo Jiang, Mathieu Salzmann, Zheng Dang, Jin Xie, Jian Yang
Affiliations: PCA Lab, Nanjing University of Science and Technology, China; CVLab, EPFL, Switzerland; CVLab, EPFL, Switzerland and ClearSpace, Switzerland
Conference: nips 2023 (main track)
Keywords: 6D object pose estimation;Point cloud registration;Diffusion probabilistic model
Decision: Poster
Title: Bypass Exponential Time Preprocessing: Fast Neural Network Training via Weight-Data Correlation Preprocessing
Authors: Josh Alman, 杰昊 梁, Zhao Song, Ruizhe Zhang, Danyang Zhuo
Affiliations: Columbia University; University of California, Berkeley; Duke University; Adobe Research; Simons Institute for the Theory of Computing
Conference: nips 2023 (main track)
Keywords: Training neural network;Dynamic activated neuron detection;Sparsity;Fine-grained complexity;Data structure
Decision: Poster
Title: WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding
Authors: Yanchao Tan, Zihao Zhou, Hang Lv, Weiming Liu, Carl Yang
Affiliations: Department of Computer Science, Emory University, Atlanta, United States; College of Computer and Data Science, Fuzhou University, Fuzhou, China; College of Computer Science, Zhejiang University, Hangzhou, China
Conference: nips 2023 (main track)
Keywords: Arributed graph;unsupervised graph learning;language models;representation learning
Decision: Poster
Title: MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing
Authors: Kai Zhang, Lingbo Mo, Wenhu Chen, Huan Sun, Yu Su
Affiliations: The Ohio State University; University of Waterloo
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Image Editing;Text-guided Image Editing;Diffusion
Decision: Poster
Title: Differentially Private Approximate Near Neighbor Counting in High Dimensions
Authors: Alexandr Andoni, Piotr Indyk, Sepideh Mahabadi, Shyam Narayanan
Affiliations: MIT; Microsoft Research; Columbia University
Conference: nips 2023 (main track)
Keywords: Differential Privacy;Near Neighbor Search;Locality Sensitive Hashing;Data Structures;Range Query
Decision: Spotlight
Title: Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization
Authors: Ruijia Wang, YiWu Sun, Yujie Luo, Shaochuan Li, Cheng Yang, Xingyi Cheng, Hui Li, Chuan Shi, Le Song
Affiliations: Beijing University of Posts and Telecommunications; BioMap Research, Beijing University of Posts and Telecommunications; BioMap Research
Conference: nips 2023 (main track)
Keywords: complex structure prediction;rigid docking;protein docking;antibody-antigen docking
Decision: Poster
Title: Thought Cloning: Learning to Think while Acting by Imitating Human Thinking
Authors: Shengran Hu, Jeff Clune
Affiliations: Department of Computer Science, University of British Columbia; Vector Institute; Canada CIFAR AI Chair; Department of Computer Science, University of British Columbia; Vector Institute
Conference: nips 2023 (main track)
Keywords: Reinforcement learning;Imitation Learning;AI Safety;Interpretability
Decision: Spotlight
Title: Rehearsal Learning for Avoiding Undesired Future
Authors: Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou
Affiliations: National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, 210023, China
Conference: nips 2023 (main track)
Keywords: decision-making;structural rehearsal model;Bayesian inference;probabilistic graphical model
Decision: Poster
Title: 3D molecule generation by denoising voxel grids
Authors: Pedro O. Pinheiro, Joshua Rackers, Joseph Kleinhenz, Michael Maser, Omar Mahmood, Andrew Watkins, Stephen Ra, Vishnu Sresht, Saeed Saremi
Affiliations: Prescient Design, Genentech
Conference: nips 2023 (main track)
Keywords: generative model;molecule generation;drug discovery
Decision: Poster
Title: Training Chain-of-Thought via Latent-Variable Inference
Authors: Du Phan, Matthew Douglas Hoffman, David Dohan, Sholto Douglas, Tuan Anh Le, Aaron Parisi, Pavel Sountsov, Charles Sutton, Sharad Vikram, Rif A. Saurous
Affiliations: Google; OpenAI
Conference: nips 2023 (main track)
Keywords: Large language models;latent-variable models;control variates;chain-of-thought;MCMC
Decision: Poster
Title: Students Parrot Their Teachers: Membership Inference on Model Distillation
Authors: Matthew Jagielski, Milad Nasr, Katherine Lee, Christopher A. Choquette-Choo, Nicholas Carlini, Florian Tramer
Affiliations: Google DeepMind; ETH Zurich
Conference: nips 2023 (main track)
Keywords: model distillation;membership inference;privacy;dark knowledge
Decision: Oral
Title: Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning
Authors: Stefan Stojanovic, Yassir Jedra, Yassir Jedra, Alexandre Proutiere
Affiliations: EECS, KTH, Stockholm, Sweden
Conference: nips 2023 (main track)
Keywords: Low-rank matrix estimation; low rank bandits; low rank MDP; spectral methods
Decision: Poster
Title: Optimal Unbiased Randomizers for Regression with Label Differential Privacy
Authors: Ashwinkumar Badanidiyuru Varadaraja, Badih Ghazi, Pritish Kamath, Ravi Kumar, Ethan Leeman, Pasin Manurangsi, Avinash V Varadarajan, Chiyuan Zhang
Affiliations: Google Research, Mountain View, CA; Google Research, Bangkok, Thailand; Google, Mountain View, CA; Google, Cambridge, MA
Conference: nips 2023 (main track)
Keywords: label differential privacy
Decision: Poster
Title: Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks
Authors: Qi Xu, Yuyuan Gao, Jiangrong Shen, Yaxin Li, Xuming Ran, Huajin Tang, Gang Pan
Affiliations: College of Computer Science and Technology, Zhejiang University; School of Artificial Intelligence, Dalian University of Technology
Conference: nips 2023 (main track)
Keywords: Spiking neural networks (SNNs);Recurrent spiking neural network (RSNN);Dynamic Vision Sensor (DVS);Spiking convolutional block attention module (SCBAM)
Decision: Poster
Title: CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions
Authors: Juan M. Cardenas, Ben Adcock, Nick Dexter
Affiliations: Department of Mathematics, Simon Fraser University; Department of Scientific Computing, Florida State University
Conference: nips 2023 (main track)
Keywords: active learning;regression;arbitrary data;leverage scores;Christoffel functions;generative models;Magnetic Resonance Imaging (MRI);Physics-Informed Neural Networks (PINNs)
Decision: Spotlight
Title: Learning to Modulate pre-trained Models in RL
Authors: Thomas Schmied, Markus Hofmarcher, Fabian Paischer, Razvan Pascanu, Sepp Hochreiter
Affiliations: JKU LIT SAL eSPML Lab, Institute for Machine Learning, Johannes Kepler University, Linz, Austria; Google DeepMind, UCL; ELLIS Unit Linz and LIT AI Lab, Institute for Machine Learning
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Transformer;Decision Transformer;Multi-task learning;Continual learning;NLP;Fine-tuning;Prompt Tuning;Parameter efficient Fine-tuning
Decision: Poster
Title: Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine
Authors: Emma Chen, Aman Kansal, Julie Chen, Boyang Tom Jin, Julia Reisler, David Kim, Pranav Rajpurkar
Affiliations: Department of Computer Science, Stanford University; Department of Emergency Medicine, Stanford University School of Medicine; Department of Biomedical Informatics, Harvard Medical School; Department of Biomedical Informatics, Harvard Medical School; Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Benchmark;Multimodal Clinical Data;Medical AI;Deep Learning;Foundation model;Electronic health records (EHR)
Decision: Poster
Title: FourierHandFlow: Neural 4D Hand Representation Using Fourier Query Flow
Authors: Jihyun Lee, Junbong Jang, Donghwan Kim, Minhyuk Sung, Tae-Kyun Kim
Affiliations: KAIST; KAIST, Imperial College London
Conference: nips 2023 (main track)
Keywords: 4D representation;hand reconstruction;implicit representation
Decision: Poster