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Transformers

9,294 papers

Papers per year

Papers

Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning NIPS 2024
Nimbus: Secure and Efficient Two-Party Inference for Transformers NIPS 2024
ParallelEdits: Efficient Multi-Aspect Text-Driven Image Editing with Attention Grouping NIPS 2024
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL NIPS 2024
NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping NIPS 2024
DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs NIPS 2024
Transcoders find interpretable LLM feature circuits NIPS 2024
CLIP in Mirror: Disentangling text from visual images through reflection NIPS 2024
A Simple Image Segmentation Framework via In-Context Examples NIPS 2024
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning NIPS 2024
Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model NIPS 2024
AdanCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer NIPS 2024
Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling NIPS 2024
Learning 1D Causal Visual Representation with De-focus Attention Networks NIPS 2024
Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers NIPS 2024
MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space NIPS 2024
How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad NIPS 2024
FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding NIPS 2024
OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation NIPS 2024
MoEUT: Mixture-of-Experts Universal Transformers NIPS 2024
Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective NIPS 2024
MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts NIPS 2024
MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution NIPS 2024
Global Convergence in Training Large-Scale Transformers NIPS 2024
Accelerating Transformers with Spectrum-Preserving Token Merging NIPS 2024