All Papers
34,598 papers found • Page 603 of 692
Conference
On Mechanistic Knowledge Localization in Text-to-Image Generative Models
Samyadeep Basu, Keivan Rezaei, Priyatham Kattakinda et al.
On Multi-Armed Bandit with Impatient Arms
Yuming Shao, Zhixuan Fang
On Online Experimentation without Device Identifiers
Shiv Shankar, Ritwik Sinha, Madalina Fiterau
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods
Anh Duc Nguyen, Tuan Dung Nguyen, Quang Nguyen et al.
On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation
Jeongyeol Kwon, Dohyun Kwon, Stephen Wright et al.
On PI Controllers for Updating Lagrange Multipliers in Constrained Optimization
Motahareh Sohrabi, Juan Ramirez, Tianyue Zhang et al.
On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes
Rishabh Agarwal, Nino Vieillard, Yongchao Zhou et al.
On Positivity Condition for Causal Inference
Inwoo Hwang, Yesong Choe, Yeahoon Kwon et al.
On Pretraining Data Diversity for Self-Supervised Learning
Hasan Abed El Kader Hammoud, Tuhin Das, Fabio Pizzati et al.
On Prompt-Driven Safeguarding for Large Language Models
Chujie Zheng, Fan Yin, Hao Zhou et al.
On Representation Complexity of Model-based and Model-free Reinforcement Learning
Hanlin Zhu, Baihe Huang, Stuart Russell
On Scaling Up a Multilingual Vision and Language Model
Xi Chen, Josip Djolonga, Piotr Padlewski et al.
On Spectral Properties of Gradient-based Explanation Methods
Amir Mehrpanah, Erik Englesson, Hossein Azizpour
On Stationary Point Convergence of PPO-Clip
Ruinan Jin, Shuai Li, Baoxiang Wang
On Statistical Learning Theory for Distributional Inputs
Christian Fiedler, Pierre-François Massiani, Friedrich Solowjow et al.
On Stronger Computational Separations Between Multimodal and Unimodal Machine Learning
Ari Karchmer
On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling
Xiaobao Wu, Fengjun Pan, Thong Nguyen et al.
On the Analysis of GAN-based Image-to-Image Translation with Gaussian Noise Injection
Chaohua Shi, Kexin Huang, Lu Gan et al.
On the Approximation Risk of Few-Shot Class-Incremental Learning
Xuan Wang, Zhong Ji, Xiyao Liu et al.
On the Asymptotic Distribution of the Minimum Empirical Risk
Jacob Westerhout, TrungTin Nguyen, Xin Guo et al.
On the Calibration of Human Pose Estimation
Kerui Gu, Rongyu Chen, Xuanlong Yu et al.
On the Complexity of Finite-Sum Smooth Optimization under the Polyak–Łojasiewicz Condition
Yunyan Bai, Yuxing Liu, Luo Luo
On The Complexity of First-Order Methods in Stochastic Bilevel Optimization
Jeongyeol Kwon, Dohyun Kwon, Hanbaek Lyu
On the Computational Complexity of Plan Verification, (Bounded) Plan-Optimality Verification, and Bounded Plan Existence
Songtuan Lin, Conny Olz, Malte Helmert et al.
On the Consistency of Kernel Methods with Dependent Observations
Pierre-François Massiani, Sebastian Trimpe, Friedrich Solowjow
On the Content Bias in Fréchet Video Distance
Songwei Ge, Aniruddha Mahapatra, Gaurav Parmar et al.
On the Convergence of an Adaptive Momentum Method for Adversarial Attacks
Sheng Long, Wei Tao, Shuohao LI et al.
On the Convergence of Projected Bures-Wasserstein Gradient Descent under Euclidean Strong Convexity
Junyi FAN, Yuxuan Han, Zijian Liu et al.
On the Diminishing Returns of Width for Continual Learning
Etash Guha, Vihan Lakshman
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
Peng Sun, Bei Shi, Daiwei Yu et al.
On the Duality Between Sharpness-Aware Minimization and Adversarial Training
Yihao Zhang, Hangzhou He, Jingyu Zhu et al.
On the Effectiveness of Supervision in Asymmetric Non-Contrastive Learning
Jeongheon Oh, Kibok Lee
On the Effect of Batch Size in Byzantine-Robust Distributed Learning
Yi-Rui Yang, Chang-Wei Shi, Wu-Jun Li
On the Embedding Collapse when Scaling up Recommendation Models
Xingzhuo Guo, Junwei Pan, Ximei Wang et al.
On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm
Zhanpeng Zhou, Zijun Chen, Yilan Chen et al.
On the Error Analysis of 3D Gaussian Splatting and an Optimal Projection Strategy
Letian Huang, Jiayang Bai, Jie Guo et al.
On the Error-Propagation of Inexact Hotelling's Deflation for Principal Component Analysis
Fangshuo Liao, J. Lyle Kim, Cruz Barnum et al.
On the Estimation of Image-matching Uncertainty in Visual Place Recognition
Mubariz Zaffar, Liangliang Nan, Julian F. P. Kooij
On the Evaluation Consistency of Attribution-based Explanations
Jiarui Duan, Haoling Li, Haofei Zhang et al.
On the Expressive Power of Spectral Invariant Graph Neural Networks
Bohang Zhang, Lingxiao Zhao, Haggai Maron
On the Expressivity of Objective-Specification Formalisms in Reinforcement Learning
Rohan Subramani, Marcus Williams, Max Heitmann et al.
On the Expressivity of Recurrent Neural Cascades
Nadezda Knorozova, Alessandro Ronca
On The Fairness Impacts of Hardware Selection in Machine Learning
Sree Harsha Nelaturu, Nishaanth Kanna, Cuong Tran et al.
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing
Vincent Grari, Thibault Laugel, Tatsunori Hashimoto et al.
On the Faithfulness of Vision Transformer Explanations
Junyi Wu, Weitai Kang, Hao Tang et al.
On the Feasibility of Single-Pass Full-Capacity Learning in Linear Threshold Neurons with Binary Input Vectors
Ruipeng Liu, Borui He, Naveed Tahir et al.
On-the-fly Category Discovery for LiDAR Semantic Segmentation
HYEONSEONG KIM, Sung-Hoon Yoon, Minseok Kim et al.
On the Foundations of Shortcut Learning
Katherine Hermann, Hossein Mobahi, Thomas FEL et al.
On the Generalization and Approximation Capacities of Neural Controlled Differential Equations
Linus Bleistein, Agathe Guilloux
On the generalization capacity of neural networks during generic multimodal reasoning
Takuya Ito, Soham Dan, Mattia Rigotti et al.