Papers
Improving Viewpoint-Independent Object-Centric Representations through Active Viewpoint Selection
Yinxuan Huang, Chengmin Gao, Bin Li et al.
Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition
Mengke Li, Ye Liu, Yang Lu et al.
In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies
Yunbum Kook, Santosh S. Vempala, Matthew S. Zhang
Incentivizing Quality Text Generation via Statistical Contracts
Eden Saig, Ohad Einav, Inbal Talgam-Cohen
In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization
Ruiqi Zhang, Jingfeng Wu, Peter L. Bartlett
In-Context Learning State Vector with Inner and Momentum Optimization
Dongfang Li, Zhenyu Liu, Xinshuo Hu et al.
In-Context Learning with Representations: Contextual Generalization of Trained Transformers
Tong Yang, Yu Huang, Yingbin Liang et al.
In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness
Liam Collins, Advait Parulekar, Aryan Mokhtari et al.
In-Context Symmetries: Self-Supervised Learning through Contextual World Models
Sharut Gupta, Chenyu Wang, Yifei Wang et al.
Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques
Manh Cuong Dao, Phi Le Nguyen, Thao Nguyen Truong et al.
Incorporating Test-Time Optimization into Training with Dual Networks for Human Mesh Recovery
Yongwei Nie, Mingxian Fan, Chengjiang Long et al.
Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation
Daehee Lee, Minjong Yoo, Woo Kyung Kim et al.
INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness
Hung Le, Yingbo Zhou, Caiming Xiong et al.
IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTS
Ashwin Sankar, Srija Anand, Praveen Srinivasa Varadhan et al.
Indoor Air Quality Dataset with Activities of Daily Living in Low to Middle-income Communities
Prasenjit Karmakar, Swadhin Pradhan, Sandip Chakraborty
Induced Model Matching: Restricted Models Help Train Full-Featured Models
Usama Muneeb, Mesrob I. Ohannessian
Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuse
Samuel Lippl, Jack Lindsey
Inexact Augmented Lagrangian Methods for Conic Optimization: Quadratic Growth and Linear Convergence
Feng-Yi Liao, Lijun Ding, Yang Zheng
Inference of Neural Dynamics Using Switching Recurrent Neural Networks
Yongxu Zhang, Shreya Saxena
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
Benjamin Eysenbach, Vivek Myers, Ruslan Salakhutdinov et al.
Infer Induced Sentiment of Comment Response to Video: A New Task, Dataset and Baseline
Qi Jia, Baoyu Fan, Cong Xu et al.
Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors
Chao Chen, Yu-Shen Liu, Zhizhong Han
Inferring stochastic low-rank recurrent neural networks from neural data
Matthijs Pals, A Erdem Sağtekin, Felix Pei et al.