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Transformers

9,294 papers

Papers per year

Papers

Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects NIPS 2024
Why Transformers Need Adam: A Hessian Perspective NIPS 2024
SDformer: Similarity-driven Discrete Transformer For Time Series Generation NIPS 2024
Attention boosted Individualized Regression NIPS 2024
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching NIPS 2024
SAND: Smooth imputation of sparse and noisy functional data with Transformer networks NIPS 2024
EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching NIPS 2024
Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalization NIPS 2024
UniIF: Unified Molecule Inverse Folding NIPS 2024
DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging NIPS 2024
Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting NIPS 2024
Interpreting the Weight Space of Customized Diffusion Models NIPS 2024
Transformers on Markov data: Constant depth suffices NIPS 2024
InversionView: A General-Purpose Method for Reading Information from Neural Activations NIPS 2024
Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond NIPS 2024
The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains NIPS 2024
Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models NIPS 2024
Rapid Plug-in Defenders NIPS 2024
MatFormer: Nested Transformer for Elastic Inference NIPS 2024
UniTS: A Unified Multi-Task Time Series Model NIPS 2024
BAKU: An Efficient Transformer for Multi-Task Policy Learning NIPS 2024
Text-Guided Molecule Generation with Diffusion Language Model AAAI 2024
Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs AAAI 2024
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations AAAI 2024
Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer AAAI 2024