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This week the thirty seventh annual Convention on Neural Info Processing Methods (NeurIPS 2023), the largest machine studying convention of the 12 months, kicks off in New Orleans, LA. Google is proud to be a Diamond Stage sponsor of NeurIPS this 12 months and may have a robust presence with >170 accepted papers, two keynote talks, and extra contributions to the broader analysis neighborhood via organizational assist and involvement in >20 workshops and tutorials. Google can also be proud to be a Platinum Sponsor for each the Girls in Machine Studying and LatinX in AI workshops. We stay up for sharing a few of our in depth ML analysis and increasing our partnership with the broader ML analysis neighborhood.
Attending for NeurIPS 2023 in particular person? Come go to the Google Analysis sales space to study extra in regards to the thrilling work we’re doing to unravel a few of the area’s most attention-grabbing challenges. Go to the @GoogleAI X (Twitter) account to search out out about Google sales space actions (e.g., demos and Q&A classes).
You possibly can study extra about our newest innovative work being offered on the convention within the listing beneath (Google affiliations highlighted in daring). And see Google DeepMind’s weblog to study extra about their participation at NeurIPS 2023.
Nameless Studying through Look-Alike Clustering: A Exact Evaluation of Mannequin GeneralizationAdel Javanmard, Vahab Mirrokni
Higher Non-public Linear Regression By way of Higher Non-public Characteristic SelectionTravis Dick, Jennifer Gillenwater*, Matthew Joseph
Binarized Neural Machine TranslationYichi Zhang, Ankush Garg, Yuan Cao, Łukasz Lew, Behrooz Ghorbani*, Zhiru Zhang, Orhan Firat
BoardgameQA: A Dataset for Pure Language Reasoning with Contradictory InformationMehran Kazemi, Quan Yuan, Deepti Bhatia, Najoung Kim, Xin Xu, Vaiva Imbrasaite, Deepak Ramachandran
Boosting with Tempered Exponential MeasuresRichard Nock, Ehsan Amid, Manfred Warmuth
Idea Algebra for (Rating-Primarily based) Textual content-Managed Generative ModelsZihao Wang, Lin Gui, Jeffrey Negrea, Victor Veitch
Deep Contract Design through Discontinuous NetworksTonghan Wang, Paul Dütting, Dmitry Ivanov, Inbal Talgam-Cohen, David C. Parkes
Diffusion-SS3D: Diffusion Mannequin for Semi-supervised 3D Object DetectionCheng-Ju Ho, Chen-Hsuan Tai, Yen-Yu Lin, Ming-Hsuan Yang, Yi-Hsuan Tsai
Eliciting Consumer Preferences for Customized Multi-Goal Resolution Making via Comparative FeedbackHan Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew Walter
Gradient Descent with Linearly Correlated Noise: Concept and Purposes to Differential PrivacyAnastasia Koloskova*, Ryan McKenna, Zachary Charles, J Keith Rush, Hugh Brendan McMahan
Hardness of Low Rank Approximation of Entrywise Reworked Matrix ProductsTamas Sarlos, Xingyou Music, David P. Woodruff, Qiuyi (Richard) Zhang
Module-wise Adaptive Distillation for Multimodality Basis Fashions
Chen Liang, Jiahui Yu, Ming-Hsuan Yang, Matthew Brown, Yin Cui, Tuo Zhao, Boqing Gong, Tianyi Zhou
Multi-Swap k-Means++Lorenzo Beretta, Vincent Cohen-Addad, Silvio Lattanzi, Nikos Parotsidis
OpenMask3D: Open-Vocabulary 3D Occasion SegmentationAyça Takmaz, Elisabetta Fedele, Robert Sumner, Marc Pollefeys, Federico Tombari, Francis Engelmann
Order Issues within the Presence of Dataset Imbalance for Multilingual LearningDami Choi*, Derrick Xin, Hamid Dadkhahi, Justin Gilmer, Ankush Garg, Orhan Firat, Chih-Kuan Yeh, Andrew M. Dai, Behrooz Ghorbani
PopSign ASL v1.0: An Remoted American Signal Language Dataset Collected through SmartphonesThad Starner, Sean Forbes, Matthew So, David Martin, Rohit Sridhar, Gururaj Deshpande, Sam Sepah, Sahir Shahryar, Khushi Bhardwaj, Tyler Kwok, Daksh Sehgal, Saad Hassan, Invoice Neubauer, Sofia Vempala, Alec Tan, Jocelyn Heath, Unnathi Kumar, Priyanka Mosur, Tavenner Corridor, Rajandeep Singh, Christopher Cui, Glenn Cameron, Sohier Dane, Garrett Tanzer
Semi-Implicit Denoising Diffusion Fashions (SIDDMs)Yanwu Xu*, Mingming Gong, Shaoan Xie, Wei Wei, Matthias Grundmann, Kayhan Batmanghelich, Tingbo Hou
State2Explanation: Idea-Primarily based Explanations to Profit Agent Studying and Consumer UnderstandingDevleena Das, Sonia Chernova, Been Kim
StoryBench: A Multifaceted Benchmark for Steady Story VisualizationEmanuele Bugliarello*, Hernan Moraldo, Ruben Villegas, Mohammad Babaeizadeh, Mohammad Taghi Saffar, Han Zhang, Dumitru Erhan, Vittorio Ferrari, Pieter-Jan Kindermans, Paul Voigtlaender
Topic-driven Textual content-to-Picture Technology through Apprenticeship LearningWenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen
TpuGraphs: A Efficiency Prediction Dataset on Massive Tensor Computational GraphsPhitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao*, Bahare Fatemi, Mike Burrows, Charith Mendis*, Bryan Perozzi
Coaching Chain-of-Thought through Latent-Variable InferenceDu Phan, Matthew D. Hoffman, David Dohan*, Sholto Douglas, Tuan Anh Le, Aaron Parisi, Pavel Sountsov, Charles Sutton, Sharad Vikram, Rif A. Saurous
Unified Decrease Bounds for Interactive Excessive-dimensional Estimation beneath Info ConstraintsJayadev Acharya, Clement L. Canonne, Ziteng Solar, Himanshu Tyagi
What You See is What You Learn? Bettering Textual content-Picture Alignment EvaluationMichal Yarom, Yonatan Bitton, Soravit Changpinyo, Roee Aharoni, Jonathan Herzig, Oran Lang, Eran Ofek, Idan Szpektor
When Does Confidence-Primarily based Cascade Deferral Suffice?Wittawat Jitkrittum, Neha Gupta, Aditya Krishna Menon, Harikrishna Narasimhan, Ankit Singh Rawat, Sanjiv Kumar
Accelerating Molecular Graph Neural Networks through Information DistillationFilip Ekström Kelvinius, Dimitar Georgiev, Artur Petrov Toshev, Johannes Gasteiger
AVIS: Autonomous Visible Info In search of with Massive Language Mannequin AgentZiniu Hu*, Ahmet Iscen, Chen Solar, Kai-Wei Chang, Yizhou Solar, David Ross, Cordelia Schmid, Alireza Fathi
Past Invariance: Take a look at-Time Label-Shift Adaptation for Addressing “Spurious” CorrelationsQingyao Solar, Kevin Patrick Murphy, Sayna Ebrahimi, Alexander D’Amour
Collaborative Rating Distillation for Constant Visible EditingSubin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin
CommonScenes: Producing Commonsense 3D Indoor Scenes with Scene GraphsGuangyao Zhai, Evin Pınar Örnek, Shun-Cheng Wu, Yan Di, Federico Tombari, Nassir Navab, Benjamin Busam
Computational Complexity of Studying Neural Networks: Smoothness and DegeneracyAmit Daniely, Nathan Srebro, Gal Vardi
A Computationally Environment friendly Sparsified On-line Newton MethodFnu Devvrit*, Sai Surya Duvvuri, Rohan Anil, Vineet Gupta, Cho-Jui Hsieh, Inderjit S Dhillon
DDF-HO: Hand-Held Object Reconstruction through Conditional Directed Distance FieldChenyangguang Zhang, Yan Di, Ruida Zhang, Guangyao Zhai, Fabian Manhardt, Federico Tombari, Xiangyang Ji
Double Auctions with Two-sided Bandit FeedbackSoumya Basu, Abishek Sankararaman
Grammar Prompting for Area-Particular Language Technology with Massive Language ModelsBailin Wang, Zi Wang, Xuezhi Wang, Yuan Cao, Rif A. Saurous, Yoon Kim
Inconsistency, Instability, and Generalization Hole of Deep Neural Community TrainingRie Johnson, Tong Zhang*
Massive Graph Property Prediction through Graph Phase TrainingKaidi Cao*, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis*, Jure Leskovec, Bryan Perozzi
On Computing Pairwise Statistics with Native Differential PrivacyBadih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Adam Sealfon
On Scholar-teacher Deviations in Distillation: Does it Pay to Disobey?Vaishnavh Nagarajan, Aditya Krishna Menon, Srinadh Bhojanapalli, Hossein Mobahi, Sanjiv Kumar
Optimum Cross-learning for Contextual Bandits with Unknown Context DistributionsJon Schneider, Julian Zimmert
Close to-Optimum k-Clustering within the Sliding Window ModelDavid Woodruff, Peilin Zhong, Samson Zhou
Put up Hoc Explanations of Language Fashions Can Enhance Language ModelsSatyapriya Krishna, Jiaqi Ma, Dylan Z Slack, Asma Ghandeharioun, Sameer Singh, Himabindu Lakkaraju
Recommender Methods with Generative RetrievalShashank Rajput*, Nikhil Mehta, Anima Singh, Raghunandan Hulikal Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q. Tran, Jonah Samost, Maciej Kula, Ed H. Chi, Maheswaran Sathiamoorthy
Reinforcement Studying for Positive-tuning Textual content-to-Picture Diffusion ModelsYing Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh*, Kangwook Lee, Kimin Lee*
Replicable ClusteringHossein Esfandiari, Amin Karbasi, Vahab Mirrokni, Grigoris Velegkas, Felix Zhou
Replicability in Reinforcement LearningAmin Karbasi, Grigoris Velegkas, Lin Yang, Felix Zhou
Riemannian Projection-free On-line LearningZihao Hu, Guanghui Wang, Jacob Abernethy
Sharpness-Conscious Minimization Results in Low-Rank FeaturesMaksym Andriushchenko, Dara Bahri, Hossein Mobahi, Nicolas Flammarion
What’s the Inductive Bias of Flatness Regularization? A Research of Deep Matrix Factorization ModelsKhashayar Gatmiry, Zhiyuan Li, Ching-Yao Chuang, Sashank Reddi, Tengyu Ma, Stefanie Jegelka
Block Low-Rank Preconditioner with Shared Foundation for Stochastic OptimizationJui-Nan Yen, Sai Surya Duvvuri, Inderjit S Dhillon, Cho-Jui Hsieh
Blocked Collaborative Bandits: On-line Collaborative Filtering with Per-Merchandise Funds ConstraintsSoumyabrata Pal, Arun Sai Suggala, Karthikeyan Shanmugam, Prateek Jain
Boundary Guided Studying-Free Semantic Management with Diffusion ModelsYe Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan
Conditional Adapters: Parameter-efficient Switch Studying with Quick InferenceTao Lei, Junwen Bai, Siddhartha Brahma, Joshua Ainslie, Kenton Lee, Yanqi Zhou, Nan Du*, Vincent Y. Zhao, Yuexin Wu, Bo Li, Yu Zhang, Ming-Wei Chang
Conformal Prediction for Time Collection with Trendy Hopfield NetworksAndreas Auer, Martin Gauch, Daniel Klotz, Sepp Hochreiter
Does Visible Pretraining Assist Finish-to-Finish Reasoning?Chen Solar, Calvin Luo, Xingyi Zhou, Anurag Arnab, Cordelia Schmid
Efficient Robustness In opposition to Pure Distribution Shifts for Fashions with Totally different Coaching DataZhouxing Shi*, Nicholas Carlini, Ananth Balashankar, Ludwig Schmidt, Cho-Jui Hsieh, Alex Beutel*, Yao Qin
Bettering Neural Community Representations Utilizing Human Similarity JudgmentsLukas Muttenthaler*, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine Hermann, Andrew Okay. Lampinen, Simon Kornblith
Label Sturdy and Differentially Non-public Linear Regression: Computational and Statistical EfficiencyXiyang Liu, Prateek Jain, Weihao Kong, Sewoong Oh, Arun Sai Suggala
Mnemosyne: Studying to Practice Transformers with TransformersDeepali Jain, Krzysztof Choromanski, Avinava Dubey, Sumeet Singh, Vikas Sindhwani, Tingnan Zhang, Jie Tan
Nash Remorse Ensures for Linear BanditsAyush Sawarni, Soumyabrata Pal, Siddharth Barman
A Close to-Linear Time Algorithm for the Chamfer DistanceAinesh Bakshi, Piotr Indyk, Rajesh Jayaram, Sandeep Silwal, Erik Waingarten.
On Differentially Non-public Sampling from Gaussian and Product DistributionsBadih Ghazi, Xiao Hu*, Ravi Kumar, Pasin Manurangsi
On Dynamic Programming Decompositions of Static Threat Measures in Markov Resolution ProcessesJia Lin Hau, Erick Delage, Mohammad Ghavamzadeh*, Marek Petrik
ResMem: Be taught What You Can and Memorize the RestZitong Yang, Michal Lukasik, Vaishnavh Nagarajan, Zonglin Li, Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Sanjiv Kumar
Accountable AI (RAI) Video games and EnsemblesYash Gupta, Runtian Zhai, Arun Suggala, Pradeep Ravikumar
RoboCLIP: One Demonstration Is Sufficient to Be taught Robotic PoliciesSumedh A Sontakke, Jesse Zhang, Sébastien M. R. Arnold, Karl Pertsch, Erdem Biyik, Dorsa Sadigh, Chelsea Finn, Laurent Itti
Sturdy Idea Erasure through Kernelized Charge-Distortion MaximizationSomnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
Sturdy Multi-Agent Reinforcement Studying through Adversarial Regularization: Theoretical Basis and Steady AlgorithmsAlexander Bukharin, Yan Li, Yue Yu, Qingru Zhang, Zhehui Chen, Simiao Zuo, Chao Zhang, Songan Zhang, Tuo Zhao
Simplicity Bias in 1-Hidden Layer Neural NetworksDepen Morwani*, Jatin Batra, Prateek Jain, Praneeth Netrapalli
SLaM: Scholar-Label Mixing for Distillation with Unlabeled ExamplesVasilis Kontonis, Fotis Iliopoulos, Khoa Trinh, Cenk Baykal, Gaurav Menghani, Erik Vee
SNAP: Self-Supervised Neural Maps for Visible Positioning and Semantic UnderstandingPaul-Edouard Sarlin*, Eduard Trulls, Marc Pollefeys, Jan Hosang, Simon Lynen
SOAR: Improved Indexing for Approximate Nearest Neighbor SearchPhilip Solar, David Simcha, Dave Dopson, Ruiqi Guo, Sanjiv Kumar
StyleDrop: Textual content-to-Picture Synthesis of Any StyleKihyuk Sohn, Lu Jiang, Jarred Barber, Kimin Lee*, Nataniel Ruiz, Dilip Krishnan, Huiwen Chang*, Yuanzhen Li, Irfan Essa, Michael Rubinstein, Yuan Hao, Glenn Entis, Irina Blok, Daniel Castro Chin
Three Towers: Versatile Contrastive Studying with Pretrained Picture ModelsJannik Kossen*, Mark Collier, Basil Mustafa, Xiao Wang, Xiaohua Zhai, Lucas Beyer, Andreas Steiner, Jesse Berent, Rodolphe Jenatton, Efi Kokiopoulou
Two-Stage Studying to Defer with A number of ExpertsAnqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong
AdANNS: A Framework for Adaptive Semantic SearchAniket Rege, Aditya Kusupati, Sharan Ranjit S, Alan Fan, Qingqing Cao, Sham Kakade, Prateek Jain, Ali Farhadi
Cappy: Outperforming and Boosting Massive Multi-Activity LMs with a Small ScorerBowen Tan*, Yun Zhu, Lijuan Liu, Eric Xing, Zhiting Hu, Jindong Chen
Causal-structure Pushed Augmentations for Textual content OOD GeneralizationAmir Feder, Yoav Wald, Claudia Shi, Suchi Saria, David Blei
Dense-Exponential Random Options: Sharp Constructive Estimators of the Gaussian KernelValerii Likhosherstov, Krzysztof Choromanski, Avinava Dubey, Frederick Liu, Tamas Sarlos, Adrian Weller
Diffusion Hyperfeatures: Looking By way of Time and Area for Semantic CorrespondenceGrace Luo, Lisa Dunlap, Dong Huk Park, Aleksander Holynski, Trevor Darrell
Diffusion Self-Steerage for Controllable Picture GenerationDave Epstein, Allan Jabri, Ben Poole, Alexei A Efros, Aleksander Holynski
Totally Dynamic k-Clustering in Õ(ok) Replace TimeSayan Bhattacharya, Martin Nicolas Costa, Silvio Lattanzi, Nikos Parotsidis
Bettering CLIP Coaching with Language RewritesLijie Fan, Dilip Krishnan, Phillip Isola, Dina Katabi, Yonglong Tian
k-Means Clustering with Distance-Primarily based PrivacyAlessandro Epasto, Vahab Mirrokni, Shyam Narayanan, Peilin Zhong
LayoutGPT: Compositional Visible Planning and Technology with Massive Language ModelsWeixi Feng, Wanrong Zhu, Tsu-Jui Fu, Varun Jampani, Arjun Reddy Akula, Xuehai He, Sugato Basu, Xin Eric Wang, William Yang Wang
Offline Reinforcement Studying for Combination-of-Skilled Dialogue ManagementDhawal Gupta*, Yinlam Chow, Azamat Tulepbergenov, Mohammad Ghavamzadeh*, Craig Boutilier
Optimum Unbiased Randomizers for Regression with Label Differential PrivacyAshwinkumar Badanidiyuru, Badih Ghazi, Pritish Kamath, Ravi Kumar, Ethan Jacob Leeman, Pasin Manurangsi, Avinash V Varadarajan, Chiyuan Zhang
Paraphrasing Evades Detectors of AI-generated Textual content, however Retrieval Is an Efficient DefenseKalpesh Krishna, Yixiao Music, Marzena Karpinska, John Wieting, Mohit Iyyer
ReMaX: Stress-free for Higher Coaching on Environment friendly Panoptic SegmentationShuyang Solar*, Weijun Wang, Qihang Yu*, Andrew Howard, Philip Torr, Liang-Chieh Chen*
Sturdy and Actively Safe Serverless Collaborative LearningNicholas Franzese, Adam Dziedzic, Christopher A. Choquette-Choo, Mark R. Thomas, Muhammad Ahmad Kaleem, Stephan Rabanser, Congyu Fang, Somesh Jha, Nicolas Papernot, Xiao Wang
SpecTr: Quick Speculative Decoding through Optimum TransportZiteng Solar, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix Yu
Structured Prediction with Stronger Consistency GuaranteesAnqi Mao, Mehryar Mohri, Yutao Zhong
Affinity-Conscious Graph NetworksAmeya Velingker, Ali Kemal Sinop, Ira Ktena, Petar Veličković, Sreenivas Gollapudi
ARTIC3D: Studying Sturdy Articulated 3D Shapes from Noisy Internet Picture CollectionsChun-Han Yao*, Amit Raj, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani
Black-Field Differential Privateness for Interactive MLHaim Kaplan, Yishay Mansour, Shay Moran, Kobbi Nissim, Uri Stemmer
Bypassing the Simulator: Close to-Optimum Adversarial Linear Contextual BanditsHaolin Liu, Chen-Yu Wei, Julian Zimmert
DaTaSeg: Taming a Common Multi-Dataset Multi-Activity Segmentation ModelXiuye Gu, Yin Cui*, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen*, David Ross
Simple Studying from Label ProportionsRobert Busa-Fekete, Heejin Choi*, Travis Dick, Claudio Gentile, Andres Munoz Medina
Environment friendly Knowledge Subset Choice to Generalize Coaching Throughout Fashions: Transductive and Inductive NetworksEeshaan Jain, Tushar Nandy, Gaurav Aggarwal, Ashish Tendulkar, Rishabh Iyer, Abir De
Quicker Differentially Non-public Convex Optimization through Second-Order MethodsArun Ganesh, Mahdi Haghifam*, Thomas Steinke, Abhradeep Guha Thakurta
Discovering Protected Zones of Markov Resolution Processes PoliciesLee Cohen, Yishay Mansour, Michal Moshkovitz
Centered Transformer: Contrastive Coaching for Context ScalingSzymon Tworkowski, Konrad Staniszewski, Mikołaj Pacek, Yuhuai Wu*, Henryk Michalewski, Piotr Miłoś
Entrance-door Adjustment Past Markov Equivalence with Restricted Graph KnowledgeAbhin Shah, Karthikeyan Shanmugam, Murat Kocaoglu
H-Consistency Bounds: Characterization and ExtensionsAnqi Mao, Mehryar Mohri, Yutao Zhong
Inverse Dynamics Pretraining Learns Good Representations for Multitask ImitationDavid Brandfonbrener, Ofir Nachum, Joan Bruna
Most Neural Networks Are Virtually LearnableAmit Daniely, Nathan Srebro, Gal Vardi
Multiclass Boosting: Easy and Intuitive Weak Studying CriteriaNataly Brukhim, Amit Daniely, Yishay Mansour, Shay Moran
NeRF Revisited: Fixing Quadrature Instability in Quantity RenderingMikaela Angelina Uy, Kiyohiro Nakayama, Guandao Yang, Rahul Krishna Thomas, Leonidas Guibas, Ke Li
Privateness Amplification through Compression: Attaining the Optimum Privateness-Accuracy-Communication Commerce-off in Distributed Imply EstimationWei-Ning Chen, Dan Music, Ayfer Ozgur, Peter Kairouz
Non-public Federated Frequency Estimation: Adapting to the Hardness of the InstanceJingfeng Wu*, Wennan Zhu, Peter Kairouz, Vladimir Braverman
RETVec: Resilient and Environment friendly Textual content VectorizerElie Bursztein, Marina Zhang, Owen Skipper Vallis, Xinyu Jia, Alexey Kurakin
Symbolic Discovery of Optimization AlgorithmsXiangning Chen*, Chen Liang, Da Huang, Esteban Actual, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V. Le
A Story of Two Options: Steady Diffusion Enhances DINO for Zero-Shot Semantic CorrespondenceJunyi Zhang, Charles Herrmann, Junhwa Hur, Luisa F. Polania, Varun Jampani, Deqing Solar, Ming-Hsuan Yang
A Trichotomy for Transductive On-line LearningSteve Hanneke, Shay Moran, Jonathan Shafer
A Unified Quick Gradient Clipping Framework for DP-SGDWilliam Kong, Andres Munoz Medina
Unleashing the Energy of Randomization in Auditing Differentially Non-public MLKrishna Pillutla, Galen Andrew, Peter Kairouz, H. Brendan McMahan, Alina Oprea, Sewoong Oh
(Amplified) Banded Matrix Factorization: A unified strategy to personal trainingChristopher A Choquette-Choo, Arun Ganesh, Ryan McKenna, H Brendan McMahan, Keith Rush, Abhradeep Guha Thakurta, Zheng Xu
Adversarial Resilience in Sequential Prediction through AbstentionSurbhi Goel, Steve Hanneke, Shay Moran, Abhishek Shetty
Alternating Gradient Descent and Combination-of-Consultants for Built-in Multimodal PerceptionHassan Akbari, Dan Kondratyuk, Yin Cui, Rachel Hornung, Huisheng Wang, Hartwig Adam
Android within the Wild: A Massive-Scale Dataset for Android Gadget ControlChristopher Rawles, Alice Li, Daniel Rodriguez, Oriana Riva, Timothy Lillicrap
Benchmarking Robustness to Adversarial Picture ObfuscationsFlorian Stimberg, Ayan Chakrabarti, Chun-Ta Lu, Hussein Hazimeh, Otilia Stretcu, Wei Qiao, Yintao Liu, Merve Kaya, Cyrus Rashtchian, Ariel Fuxman, Mehmet Tek, Sven Gowal
Constructing Socio-culturally Inclusive Stereotype Assets with Group EngagementSunipa Dev, Jaya Goyal, Dinesh Tewari, Shachi Dave, Vinodkumar Prabhakaran
Consensus and Subjectivity of Pores and skin Tone Annotation for ML FairnessCandice Schumann, Gbolahan O Olanubi, Auriel Wright, Ellis Monk Jr*, Courtney Heldreth, Susanna Ricco
Counting Distinct Components Below Particular person-Stage Differential PrivacyAlexander Knop, Thomas Steinke
DICES Dataset: Range in Conversational AI Analysis for SafetyLora Aroyo, Alex S. Taylor, Mark Diaz, Christopher M. Homan, Alicia Parrish, Greg Serapio-García, Vinodkumar Prabhakaran, Ding Wang
Does Progress on ImageNet Switch to Actual-world Datasets?Alex Fang, Simon Kornblith, Ludwig Schmidt
Estimating Generic 3D Room Constructions from 2D AnnotationsDenys Rozumnyi*, Stefan Popov, Kevis-kokitsi Maninis, Matthias Nießner, Vittorio Ferrari
Massive Language Mannequin as Attributed Coaching Knowledge Generator: A Story of Range and BiasYue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang
MADLAD-400: A Multilingual And Doc-Stage Massive Audited DatasetSneha Kudugunta, Isaac Caswell, Biao Zhang, Xavier Garcia, Derrick Xin, Aditya Kusupati, Romi Stella, Ankur Bapna, Orhan Firat
Mechanic: A Studying Charge TunerAshok Cutkosky, Aaron Defazio, Harsh Mehta
NAVI: Class-Agnostic Picture Collections with Excessive-High quality 3D Form and Pose AnnotationsVarun Jampani, Kevis-kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, Andre Araujo, Ricardo Martin Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu*, Yuanzhen Li, Howard Zhou
Neural Supreme Massive Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential EquationsAnudhyan Boral, Zhong Yi Wan, Leonardo Zepeda-Nunez, James Lottes, Qing Wang, Yi-Fan Chen, John Roberts Anderson, Fei Sha
Restart Sampling for Bettering Generative ProcessesYilun Xu, Mingyang Deng, Xiang Cheng, Yonglong Tian, Ziming Liu, Tommi Jaakkola
Rethinking Incentives in Recommender Methods: Are Monotone Rewards At all times Helpful?Fan Yao, Chuanhao Li, Karthik Abinav Sankararaman, Yiming Liao, Yan Zhu, Qifan Wang, Hongning Wang, Haifeng Xu
Revisiting Analysis Metrics for Semantic Segmentation: Optimization and Analysis of Positive-grained Intersection over UnionZifu Wang, Maxim Berman, Amal Rannen-Triki, Philip Torr, Devis Tuia, Tinne Tuytelaars, Luc Van Gool, Jiaqian Yu, Matthew B. Blaschko
RoboHive: A Unified Framework for Robotic LearningVikash Kumar, Rutav Shah, Gaoyue Zhou, Vincent Moens, Vittorio Caggiano, Abhishek Gupta, Aravind Rajeswaran
SatBird: Chook Species Distribution Modeling with Distant Sensing and Citizen Science DataMélisande Teng, Amna Elmustafa, Benjamin Akera, Yoshua Bengio, Hager Radi, Hugo Larochelle, David Rolnick
Sparsity-Preserving Differentially Non-public Coaching of Massive Embedding ModelsBadih Ghazi, Yangsibo Huang*, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Amer Sinha, Chiyuan Zhang
StableRep: Artificial Photographs from Textual content-to-Picture Fashions Make Robust Visible Illustration LearnersYonglong Tian, Lijie Fan, Phillip Isola, Huiwen Chang, Dilip Krishnan
In the direction of Federated Basis Fashions: Scalable Dataset Pipelines for Group-Structured LearningZachary Charles, Nicole Mitchell, Krishna Pillutla, Michael Reneer, Zachary Garrett
Universality and Limitations of Immediate TuningYihan Wang, Jatin Chauhan, Wei Wang, Cho-Jui Hsieh
Unsupervised Semantic Correspondence Utilizing Steady DiffusionEric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
YouTube-ASL: A Massive-Scale, Open-Area American Signal Language-English Parallel CorpusDave Uthus, Garrett Tanzer, Manfred Georg
The Noise Stage in Linear Regression with Dependent DataIngvar Ziemann, Stephen Tu, George J. Pappas, Nikolai Matni
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