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Papers
The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers (Student Abstract)
AAAI 2024
The mechanistic basis of data dependence and abrupt learning in an in-context classification task
ICLR 2024
TIGER: Time-Varying Denoising Model for 3D Point Cloud Generation with Diffusion Process
CVPR 2024
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
NeurIPS 2024
ToDo: Token Downsampling for Efficient Generation of High-Resolution Images
IJCAI 2024
Token Fusion: Bridging the Gap Between Token Pruning and Token Merging
WACV 2024
Too Big to Fail: Larger Language Models are Disproportionately Resilient to Induction of Dementia-Related Linguistic Anomalies
ACL 2024
Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings
AAAI 2024
Towards Efficient Diffusion-Based Image Editing with Instant Attention Masks
AAAI 2024
Towards HDR and HFR Video from Rolling-Mixed-Bit Spikings
CVPR 2024
Towards Principled Graph Transformers
NeurIPS 2024
Towards Understanding and Improving Adversarial Robustness of Vision Transformers
CVPR 2024
Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing
CVPR 2024
Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens
NeurIPS 2024
Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling
IJCAI 2024
Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis
NeurIPS 2024
Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts
NeurIPS 2024
Transformer Attention vs Human Attention in Anaphora Resolution
ACL 2024
Transformers are Minimax Optimal Nonparametric In-Context Learners
NeurIPS 2024
Transformers on Markov data: Constant depth suffices
NeurIPS 2024
TransRadar: Adaptive-Directional Transformer for Real-Time Multi-View Radar Semantic Segmentation
WACV 2024
Triplet Attention Transformer for Spatiotemporal Predictive Learning
WACV 2024
Uncovering the Handwritten Text in the Margins: End-to-end Handwritten Text Detection and Recognition
EACL 2024
Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling
NeurIPS 2024
Understanding Transformer Reasoning Capabilities via Graph Algorithms
NeurIPS 2024