Papers
A generative model of the hippocampal formation trained with theta driven local learning rules
Tom M George, Kimberly L Stachenfeld, Caswell Barry et al.
Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices
Kilian Pfeiffer, Ramin Khalili, Joerg Henkel
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
Tom Hartvigsen, Swami Sankaranarayanan, Hamid Palangi et al.
Agnostically Learning Single-Index Models using Omnipredictors
Aravind Gollakota, Parikshit Gopalan, Adam Klivans et al.
Agnostic Multi-Group Active Learning
Nicholas Rittler, Kamalika Chaudhuri
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning
Yiyou Sun, Zhenmei Shi, Yixuan Li
A Guide Through the Zoo of Biased SGD
Yury Demidovich, Grigory Malinovsky, Igor Sokolov et al.
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction
Guillaume Huguet, Alexander Tong, Edward De Brouwer et al.
A Heavy-Tailed Algebra for Probabilistic Programming
Feynman T Liang, Liam Hodgkinson, Michael W. Mahoney
A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space
Wenchong He, Zhe Jiang, Tingsong Xiao et al.
A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design
Fang Wu, Stan Z. Li
A High-Resolution Dataset for Instance Detection with Multi-View Object Capture
QIANQIAN SHEN, Yunhan Zhao, Nahyun Kwon et al.
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation
Thomas FEL, Victor Boutin, Louis Béthune et al.
AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways via Contrastive Learning
Mohammadamin Tavakoli, Pierre Baldi, Ann Marie Carlton et al.
AiluRus: A Scalable ViT Framework for Dense Prediction
Jin Li, Yaoming Wang, XIAOPENG ZHANG et al.
Aiming towards the minimizers: fast convergence of SGD for overparametrized problems
Chaoyue Liu, Dmitriy Drusvyatskiy, Misha Belkin et al.
AIMS: All-Inclusive Multi-Level Segmentation for Anything
Lu Qi, Jason Kuen, Weidong Guo et al.
AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs
Adam Cobb, Anirban Roy, Daniel Elenius et al.
AirDelhi: Fine-Grained Spatio-Temporal Particulate Matter Dataset From Delhi For ML based Modeling
Sachin Chauhan, Zeel Bharatkumar Patel, Sayan Ranu et al.
AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation
Daiki E. Matsunaga, Jongmin Lee, Jaeseok Yoon et al.
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions
Hao Wang, Luxi He, Rui Gao et al.
Alexa Arena: A User-Centric Interactive Platform for Embodied AI
Qiaozi Gao, Govind Thattai, Suhaila Shakiah et al.
Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing
Ziye Ma, Javad Lavaei, Somayeh Sojoudi
Algorithm Selection for Deep Active Learning with Imbalanced Datasets
Jifan Zhang, Shuai Shao, Saurabh Verma et al.