Transformers

Instruct Me More! Random Prompting for Visual In-Context Learning WACV 2024 Integrating Multi-scale Contextualized Information for Byte-based Neural Machine Translation ACL 2024 Integrating Representation Subspace Mapping with Unimodal Auxiliary Loss for Attention-based Multimodal Emotion Recognition COLING 2024 Integrating Supervised Extractive and Generative Language Models for Suicide Risk Evidence Summarization EACL 2024 Intelligent Grimm - Open-ended Visual Storytelling via Latent Diffusion Models CVPR 2024 InterACT: Inter-dependency Aware Action Chunking with Hierarchical Attention Transformers for Bimanual Manipulation CoRL 2024 Interaction Region Visual Transformer for Egocentric Action Anticipation WACV 2024 Interfacing Foundation Models' Embeddings NeurIPS 2024 InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD NeurIPS 2024 InternVideo2: Scaling Foundation Models for Multimodal Video Understanding ECCV 2024 InterpBench: Semi-Synthetic Transformers for Evaluating Mechanistic Interpretability Techniques NeurIPS 2024 Interpretability Illusions in the Generalization of Simplified Models ICML 2024 Interpretable Image Classification with Adaptive Prototype-based Vision Transformers NeurIPS 2024 Interpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priors NeurIPS 2024 Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts EMNLP 2024 Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual Knowledge NeurIPS 2024 Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis EMNLP 2024 Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE) NeurIPS 2024 Interpreting Context Look-ups in Transformers: Investigating Attention-MLP Interactions EMNLP 2024 Interpreting the Weight Space of Customized Diffusion Models NeurIPS 2024 interrupt-driven@SMM4H’24: Relevance-weighted Sentiment Analysis of Reddit Posts ACL 2024 Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting NeurIPS 2024 Invariance-based Learning of Latent Dynamics ICLR 2024 InversionView: A General-Purpose Method for Reading Information from Neural Activations NeurIPS 2024 Investigating Aspect Features in Contextualized Embeddings with Semantic Scales and Distributional Similarity NAACL 2024