Papers
Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads
Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit et al.
Evaluating Multiview Object Consistency in Humans and Image Models
Tyler Bonnen, Stephanie Fu, Yutong Bai et al.
Evaluating Numerical Reasoning in Text-to-Image Models
Ivana Kajić, Olivia Wiles, Isabela Albuquerque et al.
Evaluating the design space of diffusion-based generative models
Yuqing Wang, Ye He, Molei Tao
Evaluating the World Model Implicit in a Generative Model
Keyon Vafa, Justin Y. Chen, Ashesh Rambachan et al.
Evaluation of Text-to-Video Generation Models: A Dynamics Perspective
Mingxiang Liao, Hannan Lu, Xinyu Zhang et al.
Even Sparser Graph Transformers
Hamed Shirzad, Honghao Lin, Balaji Venkatachalam et al.
Event-3DGS: Event-based 3D Reconstruction Using 3D Gaussian Splatting
Haiqian Han, Jianing Li, Henglu Wei et al.
Everyday Object Meets Vision-and-Language Navigation Agent via Backdoor
Keji He, Kehan Chen, Jiawang Bai et al.
Evidence of Learned Look-Ahead in a Chess-Playing Neural Network
Erik Jenner, Shreyas Kapur, Vasil Georgiev et al.
Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity
Dayou Yu, Minghao Li, Weishi Shi et al.
Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation
Krishna Prasad Neupane, Ervine Zheng, Qi Yu
EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations
Jia Li, Ge Li, Xuanming Zhang et al.
EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models
Rui Zhao, Hangjie Yuan, Yujie Wei et al.
Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals
Christian Holberg, Cristopher Salvi
Exactly Minimax-Optimal Locally Differentially Private Sampling
Hyun-Young Park, Shahab Asoodeh, Si-Hyeon Lee
Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization
Davide Buffelli, Jamie McGowan, Wangkun Xu et al.
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking
Roland Stolz, Hanna Krasowski, Jakob Thumm et al.
Exclusively Penalized Q-learning for Offline Reinforcement Learning
Junghyuk Yeom, Yonghyeon Jo, Jungmo Kim et al.
Exocentric-to-Egocentric Video Generation
Jia-Wei Liu, Weijia Mao, Zhongcong Xu et al.
Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation
Yikang Chen, Dehui Du, Lili Tian
Expanding Sparse Tuning for Low Memory Usage
Shufan Shen, Junshu Sun, Xiangyang Ji et al.
Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch
Malek Mechergui, Sarath Sreedharan
Expected Probabilistic Hierarchies
Marcel Kollovieh, Bertrand Charpentier, Daniel Zügner et al.
Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport
Nazar Buzun, Maksim Bobrin, Dmitry V. Dylov