Papers
IMPACT: A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design Patents
Homaira Huda Shomee, Zhu Wang, Sourav Medya et al.
Implicit Bias of Mirror Flow on Separable Data
Scott Pesme, Radu-Alexandru Dragomir, Nicolas Flammarion
Implicit Curriculum in Procgen Made Explicit
Zhenxiong Tan, Kaixin Wang, Xinchao Wang
Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient
Nataša Tagasovska, Vladimir Gligorijević, Kyunghyun Cho et al.
Implicit Multimodal Alignment: On the Generalization of Frozen LLMs to Multimodal Inputs
Mustafa Shukor, Matthieu Cord
Implicit Optimization Bias of Next-token Prediction in Linear Models
Christos Thrampoulidis
Implicit Regularization of Decentralized Gradient Descent for Sparse Regression
Tongle Wu, Ying Sun
Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
Bingcong Li, Liang Zhang, Niao He
Implicit Regularization Paths of Weighted Neural Representations
Jin-Hong Du, Pratik Patil
Implicit Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes
Qi Ma, Danda Pani Paudel, Ender Konukoglu et al.
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
Hao Chen, Ankit Shah, Jindong Wang et al.
Improved Algorithms for Contextual Dynamic Pricing
Matilde Tullii, Solenne Gaucher, Nadav Merlis et al.
Improved Analysis for Bandit Learning in Matching Markets
Fang Kong, Zilong Wang, Shuai Li
Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms
Jiechao Guan, Hui Xiong
Improved Distribution Matching Distillation for Fast Image Synthesis
Tianwei Yin, Michaël Gharbi, Taesung Park et al.
Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses
Xiaosen Zheng, Tianyu Pang, Chao Du et al.
Improved Generation of Adversarial Examples Against Safety-aligned LLMs
Qizhang Li, Yiwen Guo, Wangmeng Zuo et al.
Improved Guarantees for Fully Dynamic $k$-Center Clustering with Outliers in General Metric Spaces
Leyla Biabani, Annika Hennes, Denise La Gordt Dillie et al.
Improved learning rates in multi-unit uniform price auctions
Marius Potfer, Dorian Baudry, Hugo Richard et al.
Improved off-policy training of diffusion samplers
Marcin Sendera, Minsu Kim, Sarthak Mittal et al.
Improved Regret for Bandit Convex Optimization with Delayed Feedback
Yuanyu Wan, Chang Yao, Mingli Song et al.
Improved Regret of Linear Ensemble Sampling
Harin Lee, Min-hwan Oh
Improved Sample Complexity Bounds for Diffusion Model Training
Shivam Gupta, Aditya Parulekar, Eric Price et al.
Improved Sample Complexity for Multiclass PAC Learning
Steve Hanneke, Shay Moran, Qian Zhang