Papers
Hypothesis-Driven Reasoning for Large Language Models
Aakash Kumar Agarwal, Moyuru Yamada
HypoxSpike: Ternary Spiking Neural Network for Opioid Overdose Detection
Anush Lingamoorthy, Abhishek Kumar Mishra, Olumuyiwa Oni et al.
HyRNN: Hybrid Recurrent Neural Networks for Approximating Hybrid Dynamical Systems
Ricardo G. Sanfelice
I2CD: An Invertible Causal Framework for Compositional Zero-Shot Learning via Disentangle-Compose-Disentangle
Zhaoquan Yuan, Zining Wang, Yuankang Pan et al.
I2E: Real-Time Image-to-Event Conversion for High-Performance Spiking Neural Networks
Ruichen Ma, Liwei Meng, Guanchao Qiao et al.
IAD-R1: Reinforcing Consistent Reasoning in Industrial Anomaly Detection
Yanhui Li, Yunkang Cao, Chengliang Liu et al.
iBERT: Interpretable Embeddings via Sense Decomposition
Vishal Anand, Milad Alshomary, Kathleen McKeown
ICAD-LLM: One-for-All Anomaly Detection via In-Context Learning with Large Language Models
Zhongyuan Wu, Jingyuan Wang, Zexuan Cheng et al.
I-CAM-UV: Integrating Causal Graphs over Non-Identical Variable Sets Using Causal Additive Models with Unobserved Variables
Hirofumi Suzuki, Kentaro Kanamori, Takuya Takagi et al.
iCD: An Implicit Clustering Distillation Method for Structural Information Mining (Student Abstract)
Xiang Xue, Yatu Ji, Qing-Dao-Er-Ji Ren et al.
ICLR: Inter-Chrominance and Luminance Interaction for Natural Color Restoration in Low-Light Image Enhancement
Xin Xu, Hao Liu, Wei Liu et al.
ICL-Router: In-Context Learned Model Representations for LLM Routing
Chenxu Wang, Hao Li, Yiqun Zhang et al.
ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation
Yihua Shao, Xiaofeng Lin, Xinwei Long et al.
ICONIC-444: A 3.1-Million-Image Dataset for OOD Detection Research
Gerhard Krumpl, Henning Avenhaus, Horst Possegger
IDEAlign: Comparing Ideas of Large Language Models to Domain Experts
HyunJi Nam, Lucía Langlois, Jim Malamut et al.
IDEAL-M3D: Instance Diversity-Enriched Active Learning for Monocular 3D Detection
Johannes Meier, Florian Günther, Riccardo Marin et al.
IdealTSF: Can Non-Ideal Data Contribute to Enhancing the Performance of Time Series Forecasting Models?
Hua Wang, Jinghao Lu, Fan Zhang
IdeFN: Identifying Unclicked Space False Negatives via Relaxed Partial Optimal Transport for Conversion Rate Prediction
Weiyi Zhong, Weiming Liu, Lianyong Qi et al.
Identifying and Analyzing Performance-Critical Tokens in Large Language Models
Yu Bai, Heyan Huang, Cesare Spinoso-Di Piano et al.
Identifying Features Associated with Bias Against 93 Stigmatized Groups in Language Models and Guardrail Model Safety Mitigation
Anna-Maria Gueorguieva, Aylin Caliskan
Identifying Fine-grained Forms of Populism in Political Discourse: A Case Study on Donald Trump’s Presidential Campaigns
Ilias Chalkidis, Stephanie Brandl, Paris Aslanidis
Identifying Imperfect Clones in Elections
Piotr Faliszewski, Łukasz Janeczko, Grzegorz Lisowski et al.
Identity-Aware Vision-Language Model for Explainable Face Forgery Detection
Junhao Xu, Jingjing Chen, Yang Jiao et al.
IdentityStory: Taming Your Identity-Preserving Generator for Human-Centric Story Generation
Donghao Zhou, Jingyu Lin, Guibao Shen et al.
Identity Verification from Human Scent using Channel Representation of 2D Gas Chromatography-Mass Spectrometry Data
Radim Spetlik, Jan Hlavsa, Jana Čechová et al.