Transformers

Towards Better Vision-Inspired Vision-Language Models CVPR 2024 Towards Category Unification of 3D Single Object Tracking on Point Clouds ICLR 2024 Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings AAAI 2024 Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration ICML 2024 Towards Flexible Visual Relationship Segmentation NeurIPS 2024 Towards HDR and HFR Video from Rolling-Mixed-Bit Spikings CVPR 2024 Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models EMNLP 2024 Towards Multi-Modal Co-Reference Resolution in Conversational Shopping Agents COLING 2024 Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers NeurIPS 2024 Towards Scalable Bayesian Transformers: Investigating stochastic subset selection for NLP UAI 2024 Towards Self-Attention Understanding for Automatic Articulatory Processes Analysis in Cleft Lip and Palate Speech Interspeech 2024 Towards Speech Classification from Acoustic and Vocal Tract data in Real-time MRI Interspeech 2024 Towards Understanding and Improving Adversarial Robustness of Vision Transformers CVPR 2024 Towards Understanding Future: Consistency Guided Probabilistic Modeling for Action Anticipation AAAI 2024 Towards Understanding Inductive Bias in Transformers: A View From Infinity ICML 2024 Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features ICML 2024 Towards Unified Multi-granularity Text Detection with Interactive Attention ICML 2024 Tower v2: Unbabel-IST 2024 Submission for the General MT Shared Task EMNLP 2024 TpT-ADE: Transformer Based Two-Phase ADE Extraction CoNLL 2024 Tracking linguistic information in transformer-based sentence embeddings through targeted sparsification ACL 2024 Trained Transformers Learn Linear Models In-Context JMLR 2024 Training and Fine-Tuning NMT Models for Low-Resource Languages Using Apertium-Based Synthetic Corpora EMNLP 2024 Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts NeurIPS 2024 Trajeglish: Traffic Modeling as Next-Token Prediction ICLR 2024 Transcendence: Generative Models Can Outperform The Experts That Train Them NeurIPS 2024