hunoutl/paperlists huggingface dataset:
Title: To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning
Authors: Ildus Sadrtdinov, Dmitrii Pozdeev, Dmitry Vetrov, Ekaterina Lobacheva
Affiliations: Technical University of Munich (TUM); HSE University; Independent researcher; Constructor University, Bremen
Conference: nips 2023 (main track)
Keywords: ensembles;transfer learning;loss landscape basins;model soups
Decision: Poster
Title: Efficient Low-rank Backpropagation for Vision Transformer Adaptation
Authors: Yuedong Yang, Hung-Yueh Chiang, Guihong Li, Diana Marculescu, Radu Marculescu
Affiliations: Chandra Family Department of Electrical and Computer Engineering, The University of Texas at Austin
Conference: nips 2023 (main track)
Keywords: Low-rank backpropagation;model adaptation;transfer learning;vision transformer;Edge AI
Decision: Poster
Title: Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach
Authors: Jinqiu Jin, Haoxuan Li, Fuli Feng, Sihao Ding, Peng Wu, Xiangnan He
Affiliations: University of Science and Technology of China; Peking University; Beijing Technology and Business University
Conference: nips 2023 (main track)
Keywords: Recommender System;Fairness
Decision: Poster
Title: Geometric Analysis of Matrix Sensing over Graphs
Authors: Haixiang Zhang, Ying Chen, Javad Lavaei
Affiliations: Department of Mathematics, University of California, Berkeley, Berkeley, CA 94720; Department of IEOR, University of California, Berkeley, Berkeley, CA 94720
Conference: nips 2023 (main track)
Keywords: Low-rank matrix optimization;non-convex optimization
Decision: Poster
Title: First- and Second-Order Bounds for Adversarial Linear Contextual Bandits
Authors: Julia Olkhovskaya, Jack Mayo, Tim van Erven, Gergely Neu, Chen-Yu Wei
Affiliations: AI group, DTIC, Universitat Pompeu Fabra, Barcelona, Spain; Department of Intelligent Systems, Delft University of Technology, Delft, The Netherlands; Korteweg-de Vries Institute for Mathematics, University of Amsterdam, Amsterdam, The Netherlands; MIT Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA, USA
Conference: nips 2023 (main track)
Keywords: contextual bandits;bandits;sequential learning;regret bounds
Decision: Poster
Title: SceneScape: Text-Driven Consistent Scene Generation
Authors: Rafail Fridman, Amit Abecasis, Yoni Kasten, Tali Dekel
Affiliations: Weizmann Institute of Science; NVIDIA Research
Conference: nips 2023 (main track)
Keywords: Computer Vision;Image & Video Editing;Video Generation;Perpetual View Generation;Texture Synthesis & Inpainting
Decision: Poster
Title: Prefix-Tree Decoding for Predicting Mass Spectra from Molecules
Authors: Samuel Goldman, John Bradshaw, Jiayi Xin, Connor Coley
Affiliations: Chemical Engineering, MIT, Cambridge, MA 02139; Statistics and Actuarial Science, The University of Hong Kong, Pokfulam, Hong Kong; Chemical Engineering, Electrical Engineering and Computer Science, MIT, Cambridge, MA 02139; Computational and Systems Biology, MIT, Cambridge, MA 02139
Conference: nips 2023 (main track)
Keywords: molecules;prefix tree;mass spectra;mass spectrum prediction;metabolomics;GNNs;chemistry;biology
Decision: Spotlight
Title: Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP
Authors: Qi Qian, Yuanhong Xu, Juhua Hu
Affiliations: School of Engineering and Technology, University of Washington, Tacoma, WA 98402, USA; Alibaba Group, Hangzhou, China; Alibaba Group, Bellevue, WA 98004, USA
Conference: nips 2023 (main track)
Keywords: zero-shot; clip; proxy learning
Decision: Poster
Title: Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning
Authors: Wei Tang, Weijia Zhang, Min-Ling Zhang
Affiliations: School of Information and Physical Sciences, The University of Newcastle, Callaghan, NSW 2308, Australia; School of Computer Science and Engineering, Southeast University, Nanjing 210096, China; Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education, China
Conference: nips 2023 (main track)
Keywords: Machine Learning;Multi-Instance Partial-Label Learning;Multi-Instance Learning;Partial-Label Learning
Decision: Poster
Title: Geometric Neural Diffusion Processes
Authors: Emile Mathieu, Vincent Dutordoir, Michael Hutchinson, Valentin De Bortoli, Yee Whye Teh, Richard Turner
Affiliations: University Of Cambridge; Center for Science of Data, ENS Ulm; University Of Oxford; University Of Cambridge, Microsoft Research
Conference: nips 2023 (main track)
Keywords: diffusion model;functional space;stochastic process;time-series;neural processes;Gaussian processes;random fields;invariance;equivariance;symmetries;stationarity
Decision: Poster
Title: Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards
Authors: Semih Cayci, Atilla Eryilmaz
Affiliations: Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH 43210; Department of Mathematics, RWTH Aachen University, Aachen, Germany
Conference: nips 2023 (main track)
Keywords: temporal difference learning;natural actor-critic;reinforcement learning;policy evaluation;policy gradient;markov decision processes
Decision: Poster
Title: Minimum Description Length and Generalization Guarantees for Representation Learning
Authors: Milad Sefidgaran, Abdellatif Zaidi, Piotr Krasnowski
Affiliations: Paris Research Center, Huawei Technologies France:Université Gustave Eiffel, France
Conference: nips 2023 (main track)
Keywords: Information Bottleneck;Representation Learning;Generalization Error;Minimum Description Length
Decision: Poster
Title: Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning
Authors: Gen Li, Wenhao Zhan, Jason Lee, Yuejie Chi, Yuxin Chen
Affiliations: UPenn; Princeton; CMU; CUHK
Conference: nips 2023 (main track)
Keywords: reward-agnostic reinforcement learning;policy finetuning;offline reinforcement learning;online reinforcement learning
Decision: Poster
Title: GNeSF: Generalizable Neural Semantic Fields
Authors: Hanlin Chen, Hanlin Chen, Chen Li, Mengqi Guo, Zhiwen Yan, Gim Hee Lee
Affiliations: Department of Computer Science, National University of Singapore
Conference: nips 2023 (main track)
Keywords: NeRF; Semantic Segmentation; 3D vision; Scene understanding; Generalizable
Decision: Poster
Title: Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders
Authors: Jan Dubiński, Stanisław Pawlak, Franziska Boenisch, Tomasz Trzcinski, Adam Dziedzic
Affiliations: Warsaw University of Technology, IDEAS NCBR; CISPA Helmholtz Center for Information Security; Warsaw University of Technology, IDEAS NCBR, Tooploox; Warsaw University of Technology
Conference: nips 2023 (main track)
Keywords: model stealing;model defenses;self-supervised learning
Decision: Poster
Title: Improving neural network representations using human similarity judgments
Authors: Lukas Muttenthaler, Lorenz Linhardt, Lorenz Linhardt, Jonas Dippel, Robert Vandermeulen, Katherine Hermann, Andrew Lampinen, Simon Kornblith
Affiliations: Google DeepMind, Mountain View, CA, USA; Machine Learning Group, Technische Universität Berlin, BIFOLD, Berlin, Germany; Google DeepMind, Machine Learning Group, Technische Universität Berlin, BIFOLD, Berlin, Germany; Google DeepMind, Toronto, Canada; Google DeepMind, London, UK
Conference: nips 2023 (main track)
Keywords: representational alignment; human similarity judgments; neural networks; representation learning; few-shot learning; anomaly detection
Decision: Poster
Title: Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation
Authors: Haonan Wang, Xiaomeng Li
Affiliations: The Hong Kong University of Science and Technology, HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute, Futian, Shenzhen; The Hong Kong University of Science and Technology
Conference: nips 2023 (main track)
Keywords: Volumetric Medical Image Segmentation;Semi-supervised Learning;Unsupervised Domain Adaptation;Semi-supervised Domain Generalization
Decision: Poster
Title: Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control
Authors: Nate Rahn, Pierluca D&#x27;Oro, Harley Wiltzer, Pierre-Luc Bacon, Marc Bellemare
Affiliations: Mila, Université de Montréal; Mila, McGill University
Conference: nips 2023 (main track)
Keywords: deep reinforcement learning;continuous control;return landscape;stability
Decision: Poster
Title: Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models
Authors: Yuchao Gu, Xintao Wang, Jay Zhangjie Wu, Yujun Shi, Yunpeng Chen, Zihan Fan, WUYOU XIAO, Rui Zhao, Shuning Chang, Weijia Wu, Yixiao Ge, Ying Shan, Mike Zheng Shou
Affiliations: National University of Singapore; ARC Lab, Tencent PCG; Show Lab
Conference: nips 2023 (main track)
Keywords: Text-to-Image Diffusion Models;Concept Customization
Decision: Poster
Title: IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers
Authors: Zhenglin Huang, Xiaoan Bao, Na Zhang, Qingqi Zhang, Xiao Tu, Biao Wu, Xi Yang
Affiliations: ZGUC; University of Science and Technology of China, Hefei, China; Yamaguchi University; School of Artificial Intellienge, Zhejiang Sci-Tech University
Conference: nips 2023 (main track)
Keywords: data augmentation;robustness;safety
Decision: Poster
Title: Benchmarking Encoder-Decoder Architectures for Biplanar X-ray to 3D Bone Shape Reconstruction
Authors: Mahesh Shakya, Bishesh Khanal
Affiliations: Nepal Applied Mathematics and Informatics Institute for research (NAAMII)
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Benchmark;Reproduciblity;2D-3D Reconstruction;X-ray Imaging;Encoder-Decoder Architecture;Deep Learning
Decision: Poster
Title: On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms
Authors: Lam Nguyen, Trang H. Tran
Affiliations: School of ORIE, Cornell University, Ithaca, NY, USA; IBM Research, Thomas J. Watson Research Center, Yorktown Heights, NY, USA
Conference: nips 2023 (main track)
Keywords: stochastic gradient;shuffling type gradient method;global convergence
Decision: Poster
Title: On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence
Authors: Achraf Azize, Marc Jourdan, Aymen Al Marjani, Debabrota Basu
Affiliations: UMPA, ENS Lyon, Lyon, France; Équipe Scool, Univ. Lille, Inria, CNRS, Centrale Lille, UMR 9189- CRIStAL, F-59000 Lille, France
Conference: nips 2023 (main track)
Keywords: Differential Privacy;Multi-armed Bandits;Best Arm Identification;Fixed Confidence
Decision: Poster
Title: Reverse Engineering Self-Supervised Learning
Authors: Ido Ben-Shaul, Ravid Shwartz-Ziv, Tomer Galanti, Shai Dekel, Yann LeCun
Affiliations: New York University; New York University & Meta AI, FAIR; Department of Applied Mathematics, Tel-Aviv University; Department of Applied Mathematics, Tel-Aviv University & eBay Research; Massachusetts Institute of Technology
Conference: nips 2023 (main track)
Keywords: Self-Supervised Learning;Deep Learning;Representation Learning
Decision: Poster
Title: Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints
Authors: Soumyabrata Pal, Arun Suggala, Karthikeyan Shanmugam, Prateek Jain
Affiliations: Google Research, Bangalore, India
Conference: nips 2023 (main track)
Keywords: Blocked Bandits;Collaborative Filtering;Clustering
Decision: Poster
Title: Label-Only Model Inversion Attacks via Knowledge Transfer
Authors: Bao-Ngoc Nguyen, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man (Man) Cheung
Affiliations: Stanford University; Singapore University of Technology and Design (SUTD)
Conference: nips 2023 (main track)
Keywords: Model Inversion attacks;Generative models;Surrogate models;Knowledge transfer
Decision: Poster
Title: Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents
Authors: wonje choi, Woo Kyung Kim, SeungHyun Kim, Honguk Woo
Affiliations: Department of Computer Science and Engineering, Sungkyunkwan University
Conference: nips 2023 (main track)
Keywords: Prompt Learining;Domain Adaptation;Embodied AI
Decision: Poster
Title: S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions
Authors: Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jinwoo Shin
Affiliations: KAIST; KAIST, University of Michigan; KAIST, KRAFTON
Conference: nips 2023 (main track)
Keywords: vision-language model;semi-supervised learning;specialist domain
Decision: Poster
Title: Training biologically plausible recurrent neural networks on cognitive tasks with long-term dependencies
Authors: Wayne Soo, Vishwa Goudar, Xiao-Jing Wang
Affiliations: Department of Engineering, University of Cambridge; Center for Neural Science, New York University
Conference: nips 2023 (main track)
Keywords: neuroscience;recurrent neural network;neural circuits;cortical circuits;cognitive tasks;working memory
Decision: Poster
Title: Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities
Authors: Donghao Ying, Yunkai Zhang, Yuhao Ding, Alec Koppel, Javad Lavaei
Affiliations: Artificial Intelligence Research, J.P. Morgan; IEOR Department, UC Berkeley
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning Theory;Safe reinforcement learning;Multi-agent reinforcement learning
Decision: Poster
Title: Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning
Authors: Beichen Zhang, Kun Zhou, Xilin Wei, Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen
Affiliations: School of Information, Renmin University of China; College of Computer Science, Sichuan University; iFLYTEK Research; Gaoling School of Artificial Intelligence, Renmin University of China; iFLYTEK AI Research (Central China)
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Math Problem Solving
Decision: Poster
Title: Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models
Authors: Yeongbin Kim, Gautam Singh, Junyeong Park, Caglar Gulcehre, Sungjin Ahn
Affiliations: EPFL & Google DeepMind; KAIST; Rutgers University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Systematic Compositionality;Visual Imagination;Benchmark;World Modeling
Decision: Poster
Title: Experimental Designs for Heteroskedastic Variance
Authors: Justin Weltz, Tanner Fiez, Alexander Volfovsky, Eric Laber, Blake Mason, houssam nassif, Lalit Jain
Affiliations: Meta, USA; Department of Statistical Science, Duke University; Michael G. Foster School of Business, University of Washington, work conducted at Amazon; Department of Statistical Science, Duke University, work conducted at Amazon; Amazon.com, USA
Conference: nips 2023 (main track)
Keywords: Heteroskedastic Variance;Linear Bandits;Experimental design
Decision: Poster
Title: Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels
Authors: Zifu Wang, Xuefei Ning, Matthew Blaschko
Affiliations: Department of Electronic Engineering, Tsinghua University, Beijing, China; ESAT-PSI, KU Leuven, Leuven, Belgium
Conference: nips 2023 (main track)
Keywords: Semantic Segmentation
Decision: Poster
Title: Inserting Anybody in Diffusion Models via Celeb Basis
Authors: Ge Yuan, Xiaodong Cun, Yong Zhang, Maomao Li, Chenyang Qi, Xintao Wang, Ying Shan, Huicheng Zheng
Affiliations: School of Computer Science and Engineering, Sun Yat-sen University; Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China; Guangdong Key Laboratory of Information Security Technology; Tencent AI Lab; The Hong Kong University of Science and Technology; Tencent AI Lab; School of Computer Science and Engineering, Sun Yat-sen University; Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China; Guangdong Key Laboratory of Information Security Technology
Conference: nips 2023 (main track)
Keywords: Text-to-Image Synthesis;Personalized Synthesis;Face Embedding
Decision: Poster
Title: Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark
Authors: Nikita Gushchin, Alexander Kolesov, Petr Mokrov, Polina Karpikova, Andrei Spiridonov, Evgeny Burnaev, Alexander Korotin
Affiliations: Skolkovo Institute of Science and Technology, Moscow, Russia; Skolkovo Institute of Science and Technology, Artificial Intelligence Research Institute, Moscow, Russia
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: entropic optimal transport;schrödinger bridge;benchmark;continuous distributions;neural methods;generative modeling
Decision: Poster
Title: RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability
Authors: Chuning Zhu, Max Simchowitz, Siri Gadipudi, Abhishek Gupta
Affiliations: Massachusetts Institute of Technology, Boston, MA 02139; University of Washington, Seattle, WA 98105
Conference: nips 2023 (main track)
Keywords: Model-Based Reinforcement Learning;Deep Reinforcement Learning
Decision: Spotlight
Title: LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation
Authors: Yujie Lu, Xianjun Yang, Xiujun Li, Xin Eric Wang, William Yang Wang
Affiliations: University of Washington; University of California, Santa Barbara; University of California, Santa Cruz
Conference: nips 2023 (main track)
Keywords: Text-to-Image Evaluation;Visio-linguistic Compositionality;Large Language Models
Decision: Poster
Title: Quilt-1M: One Million Image-Text Pairs for Histopathology
Authors: Wisdom Ikezogwo, Saygin Seyfioglu, Fatemeh Ghezloo, Dylan Geva, Fatwir Sheikh Mohammed, Pavan Kumar Anand, Ranjay Krishna, Linda Shapiro
Affiliations: University of Washington
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Vision-Language;Dataset;Histopathology;Medical;Video;Image-Text
Decision: Oral
Title: An $\varepsilon$-Best-Arm Identification Algorithm for Fixed-Confidence and Beyond
Authors: Marc Jourdan, Rémy Degenne, Emilie Kaufmann
Affiliations: Inria; Univ. Lille, CNRS, Inria, Centrale Lille, UMR 9189-CRIStAL, F-59000 Lille, France
Conference: nips 2023 (main track)
Keywords: multi-armed bandits;pure-exploration;epsilon best arm identification;Top Two algorithm;anytime
Decision: Poster
Title: EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks
Authors: Zihang Shao, Xuanye Fang, Yaxin Li, Chaoran Feng, Jiangrong Shen, Qi Xu
Affiliations: School of Artiﬁcial Intelligence, Dalian University of Technology; College of Computer Science and Technology, Zhejiang University; School of Artiﬁcial Intelligence, Dalian University of Technology and College of Computer Science and Technology, Zhejiang University
Conference: nips 2023 (main track)
Keywords: spiking neural networks cycle learning  spike encoding
Decision: Poster
Title: OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping
Authors: Huijie Wang, Tianyu Li, Yang Li, Li Chen, Chonghao Sima, Zhenbo Liu, Bangjun Wang, Peijin Jia, Yuting Wang, Shengyin Jiang, Feng Wen, Hang Xu, Ping Luo, Junchi Yan, Wei Zhang, Hongyang Li
Affiliations: Huawei Noah’s Ark Lab; OpenDriveLab, Shanghai AI Lab
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: 3D Lane Detection;Traffic Element Recognition;Topology Reasoning;Scene Understanding;Autonomous Driving;Dataset and Benchmark
Decision: Poster
Title: Are aligned neural networks adversarially aligned?
Authors: Nicholas Carlini, Milad Nasr, Christopher A. Choquette-Choo, Matthew Jagielski, Irena Gao, Pang Wei Koh, Daphne Ippolito, Florian Tramer, Ludwig Schmidt
Affiliations: University of Washington; Stanford; Google DeepMind; ETH Zurich
Conference: nips 2023 (main track)
Keywords: Adversarial examples;large language models;alignment
Decision: Poster
Title: Rigorous Runtime Analysis of MOEA/D for Solving Multi-Objective Minimum Weight Base Problems
Authors: Anh Viet Do, Aneta Neumann, Frank Neumann, Andrew Sutton
Affiliations: Optimisation and Logistics, The University of Adelaide, Australia; Department of Computer Science, University of Minnesota Duluth, USA
Conference: nips 2023 (main track)
Keywords: minimum weight base problem;multi-objective optimization;approximation;evolutionary algorithm
Decision: Poster
Title: Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions
Authors: Stefano Massaroli, Michael Poli, Dan Fu, Hermann Kumbong, Rom Parnichkun, David Romero, Aman Timalsina, Quinn McIntyre, Beidi Chen, Atri Rudra, Ce Zhang, Ce Zhang, Christopher Ré, Stefano Ermon, Yoshua Bengio
Affiliations: Purdue University; University of Chicago and Together Computer; Mila and Université de Montréal; Carnegie Mellon University and Meta AI (FAIR); University of Buffalo, SUNY; The University of Tokyo; Stanford University; Vrije Universiteit Amsterdam
Conference: nips 2023 (main track)
Keywords: Long convolutions;recurrence;attention;language models;signal processing;throughput;auto-regressive generation
Decision: Poster
Title: A Dataset for Analyzing Streaming Media Performance over HTTP/3 Browsers
Authors: Sapna Chaudhary, Mukulika Maity, Sandip Chakraborty, Naval Shukla
Affiliations: IIT Kharagpur; IIIT Delhi
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: HTTP/3;QUIC;Measurement tool;Streaming Media Dataset;YouTube
Decision: Poster
Title: Sub-optimality of the Naive Mean Field approximation for proportional high-dimensional Linear Regression
Authors: Jiaze Qiu
Affiliations: Department of Statistics, Harvard University, Cambridge, MA 02138, USA
Conference: nips 2023 (main track)
Keywords: Variational Bayes; Naive Mean Field; Gaussian comparison inequalities; High-dimensional statistics; Proportional asymptotic.
Decision: Poster
Title: Scale Alone Does not Improve Mechanistic Interpretability in Vision Models
Authors: Roland S. Zimmermann, Thomas Klein, Wieland Brendel
Affiliations: University of Tübingen, Tübingen AI Center, Tübingen, Germany; Max Planck Institute for Intelligent Systems, Tübingen AI Center, Tübingen, Germany
Conference: nips 2023 (main track)
Keywords: feature visualization;interpretability;explainability;deep learning;neural networks;analysis;activation maximization;psychophysics
Decision: Spotlight
Title: Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
Authors: Tom Hartvigsen, Swami Sankaranarayanan, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi
Affiliations: University of Virginia, MIT; MIT; Microsoft Research; Sony AI
Conference: nips 2023 (main track)
Keywords: Model Editing;Continual Learning;Model Repair
Decision: Poster
Title: Red Teaming Deep Neural Networks with Feature Synthesis Tools
Authors: Stephen Casper, Tong Bu, Yuxiao Li, Jiawei Li, Kevin Zhang, Kaivalya Hariharan, Dylan Hadfield-Menell
Affiliations: MIT CSAIL; Peking University; MIT; Tsinghua University
Conference: nips 2023 (main track)
Keywords: interpretability;benchmarking;auditing;diagnostics;debugging;adversarial attacks;feature synthesis
Decision: Poster
Title: The Transient Nature of Emergent In-Context Learning in Transformers
Authors: Aaditya Singh, Stephanie Chan, Ted Moskovitz, Erin Grant, Andrew Saxe, Felix Hill
Affiliations: Gatsby Unit, UCL; Google DeepMind; Gatsby Unit & SWC, UCL
Conference: nips 2023 (main track)
Keywords: in-context learning;transformers;emergence;transience
Decision: Poster
Title: EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding
Authors: Shuhan Tan, Tushar Nagarajan, Kristen Grauman
Affiliations: University of Texas at Austin; FAIR, Meta; University of Texas at Austin, FAIR, Meta
Conference: nips 2023 (main track)
Keywords: Egocentric Video; IMU; Efficient Video Understanding
Decision: Poster