Papers
Instruction Tuning Large Language Models to Understand Electronic Health Records
Zhenbang Wu, Anant Dadu, Mike Nalls et al.
Instruction Tuning With Loss Over Instructions
Zhengyan Shi, Adam X. Yang, Bin Wu et al.
Instructor-inspired Machine Learning for Robust Molecular Property Prediction
Fang Wu, Shuting Jin, Siyuan Li et al.
Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation
Arvind Murari Vepa, Zukang Yang, Andrew Choi et al.
Integrating GNN and Neural ODEs for Estimating Non-Reciprocal Two-Body Interactions in Mixed-Species Collective Motion
Masahito Uwamichi, Simon K. Schnyder, Tetsuya J. Kobayashi et al.
Integrating Suboptimal Human Knowledge with Hierarchical Reinforcement Learning for Large-Scale Multiagent Systems
Dingbang Liu, Shohei Kato, Wen Gu et al.
Interaction-Force Transport Gradient Flows
Egor Gladin, Pavel Dvurechensky, Alexander Mielke et al.
Interactive Deep Clustering via Value Mining
Honglin Liu, Peng Hu, Changqing Zhang et al.
InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint
Zhenzhi Wang, Jingbo Wang, Yixuan Li et al.
InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction
Sirui Xu, Ziyin Wang, Yu-Xiong Wang et al.
Interfacing Foundation Models' Embeddings
Xueyan Zou, Linjie Li, Jianfeng Wang et al.
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD
Xiaoyi Dong, Pan Zhang, Yuhang Zang et al.
InterpBench: Semi-Synthetic Transformers for Evaluating Mechanistic Interpretability Techniques
Rohan Gupta, Iván Arcuschin, Thomas Kwa et al.
Interpolating Item and User Fairness in Multi-Sided Recommendations
Qinyi Chen, Jason Cheuk Nam Liang, Negin Golrezaei et al.
Interpretable Concept-Based Memory Reasoning
David Debot, Pietro Barbiero, Francesco Giannini et al.
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
Quentin Delfosse, Sebastian Sztwiertnia, Mark Rothermel et al.
Interpretable Generalized Additive Models for Datasets with Missing Values
Hayden McTavish, Jon Donnelly, Margo Seltzer et al.
Interpretable Image Classification with Adaptive Prototype-based Vision Transformers
Chiyu Ma, Jon Donnelly, Wenjun Liu et al.
Interpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priors
Tam Thuc Do, Parham Eftekhar, Seyed Alireza Hosseini et al.
Interpretable Mesomorphic Networks for Tabular Data
Arlind Kadra, Sebastian Pineda Arango, Josif Grabocka
Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual Knowledge
Fawaz Sammani, Nikos Deligiannis
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)
Usha Bhalla, Alex Oesterling, Suraj Srinivas et al.
Interpreting Learned Feedback Patterns in Large Language Models
Luke Marks, Amir Abdullah, Clement Neo et al.
Interpreting the Weight Space of Customized Diffusion Models
Amil Dravid, Yossi Gandelsman, Kuan-Chieh Wang et al.
Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification
Zhaorui Tan, Xi Yang, Qiufeng Wang et al.