All Papers

Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following

Seonghyeon Ye, Hyeonbin Hwang, Sohee Yang et al.

INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer

Han Fang, Zhihao Song, Paul Weng et al.

INViTE: INterpret and Control Vision-Language Models with Text Explanations

Haozhe Chen, Junfeng Yang, Carl Vondrick et al.

I/O Complexity of Attention, or How Optimal is FlashAttention?

Barna Saha, Christopher Ye

IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples

Dongha Kim, Yongchan Choi, Kunwoong Kim et al.

IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics

Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy Vatolin

I-PHYRE: Interactive Physical Reasoning

Shiqian Li, Kewen Wu, Chi Zhang et al.

IPoD: Implicit Field Learning with Point Diffusion for Generalizable 3D Object Reconstruction from Single RGB-D Images

Yushuang Wu, Luyue Shi, Junhao Cai et al.

IPRemover: A Generative Model Inversion Attack against Deep Neural Network Fingerprinting and Watermarking

Wei Zong, Yang-Wai Chow, Willy Susilo et al.

IQ-VFI: Implicit Quadratic Motion Estimation for Video Frame Interpolation

Mengshun Hu, Kui Jiang, Zhihang Zhong et al.

IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks

Yue Cao, Tianlin Li, Xiaofeng Cao et al.

I-rebalance: Personalized Vehicle Repositioning for Supply Demand Balance

Haoyang Chen, Peiyan Sun, Qiyuan Song et al.

IReNe: Instant Recoloring of Neural Radiance Fields

Alessio Mazzucchelli, Adrian Garcia-Garcia, Elena Garces et al.

IRGen: Generative Modeling for Image Retrieval

Yidan Zhang, Ting Zhang, DONG CHEN et al.

IRPruneDet: Efficient Infrared Small Target Detection via Wavelet Structure-Regularized Soft Channel Pruning

Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach

Weijia Zhang, Chenlong Yin, Hao Liu et al.

IRSAM: Advancing Segment Anything Model for Infrared Small Target Detection

Mingjin Zhang, Yuchun Wang, Jie Guo et al.

Is a Large Language Model a Good Annotator for Event Extraction?

Ruirui Chen, Chengwei Qin, Weifeng Jiang et al.

Is attention required for ICL? Exploring the Relationship Between Model Architecture and In-Context Learning Ability

Ivan Lee, Nan Jiang, Taylor Berg-Kirkpatrick

IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance

Hongyi He, Longjun Liu, Haonan Zhang et al.

Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study

Shusheng Xu, Wei Fu, Jiaxuan Gao et al.

Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving?

Zhiqi Li, Zhiding Yu, Shiyi Lan et al.

Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?

Mira Juergens, Nis Meinert, Viktor Bengs et al.

IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection

Junbo Yin, Wenguan Wang, Runnan Chen et al.

Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video

Shashank Venkataramanan, Mamshad Nayeem Rizve, Joao Carreira et al.

Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective

Fabian Falck, Ziyu Wang, Christopher Holmes

Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective

Lei Zhao, Mengdi Wang, Yu Bai

Is Kernel Prediction More Powerful than Gating in Convolutional Neural Networks?

Lorenz K. Muller

Isometric Representation Learning for Disentangled Latent Space of Diffusion Models

Jaehoon Hahm, Junho Lee, Sunghyun Kim et al.

Isomorphic Pruning for Vision Models

Gongfan Fang, Xinyin Ma, Michael Bi Mi et al.

ISP-Teacher: Image Signal Process with Disentanglement Regularization for Unsupervised Domain Adaptive Dark Object Detection

Yin Zhang, Yongqiang Zhang, Zian Zhang et al.

Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images

Jacopo Bonato, Marco Cotogni, Luigi Sabetta

Is Self-Repair a Silver Bullet for Code Generation?

Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang et al.

Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts?

Huy Nguyen, Pedram Akbarian, Nhat Ho

Is This the Subspace You Are Looking for? An Interpretability Illusion for Subspace Activation Patching

Aleksandar Makelov, Georg Lange, Atticus Geiger et al.

Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data

Junha Song, Tae Soo Kim, Junha Kim et al.

Is Vanilla MLP in Neural Radiance Field Enough for Few-shot View Synthesis?

Hanxin Zhu, Tianyu He, Xin Li et al.

IT3D: Improved Text-to-3D Generation with Explicit View Synthesis

Yiwen Chen, Chi Zhang, Xiaofeng Yang et al.

Iterated Denoising Energy Matching for Sampling from Boltzmann Densities

Tara Akhound-Sadegh, Jarrid Rector-Brooks, Joey Bose et al.

Iterated Learning Improves Compositionality in Large Vision-Language Models

Chenhao Zheng, Jieyu Zhang, Aniruddha Kembhavi et al.

Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in RLHF

Banghua Zhu, Michael Jordan, Jiantao Jiao

Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models

Xiao Liu, Xiaoliu Guan, Yu Wu et al.

Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-constraint

Wei Xiong, Hanze Dong, Chenlu Ye et al.

Iterative Regularization with K-support Norm: An Important Complement to Sparse Recovery

William de Vazelhes, Bhaskar Mukhoty, Xiaotong Yuan et al.

Iterative Regularized Policy Optimization with Imperfect Demonstrations

Xudong Gong, Feng Dawei, Kele Xu et al.

Iterative Search Attribution for Deep Neural Networks

Zhiyu Zhu, Huaming Chen, Xinyi Wang et al.

Iterative Token Evaluation and Refinement for Real-World Super-resolution

Authors: Chaofeng Chen, Shangchen Zhou, Liang Liao et al.

Ito Diffusion Approximation of Universal Ito Chains for Sampling, Optimization and Boosting

Aleksei Ustimenko, Aleksandr Beznosikov

iToF-flow-based High Frame Rate Depth Imaging

Yu Meng, Zhou Xue, Xu Chang et al.

iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Yong Liu, Tengge Hu, Haoran Zhang et al.