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Transformers

1,816 papers

Papers per year

Papers

EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals NIPS 2024
Large Spatial Model: End-to-end Unposed Images to Semantic 3D NIPS 2024
The Expressive Capacity of State Space Models: A Formal Language Perspective NIPS 2024
GLBench: A Comprehensive Benchmark for Graph with Large Language Models NIPS 2024
Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation NIPS 2024
DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion NIPS 2024
Exploring Molecular Pretraining Model at Scale NIPS 2024
Linear Transformers are Versatile In-Context Learners NIPS 2024
On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability NIPS 2024
Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework NIPS 2024
Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression Perspective NIPS 2024
U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers NIPS 2024
Separate and Reconstruct: Asymmetric Encoder-Decoder for Speech Separation NIPS 2024
LRM-Zero: Training Large Reconstruction Models with Synthesized Data NIPS 2024
LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing NIPS 2024
Abrupt Learning in Transformers: A Case Study on Matrix Completion NIPS 2024
Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation NIPS 2024
Single Image Reflection Separation via Dual-Stream Interactive Transformers NIPS 2024
FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification NIPS 2024
GrounDiT: Grounding Diffusion Transformers via Noisy Patch Transplantation NIPS 2024
Coupled Mamba: Enhanced Multimodal Fusion with Coupled State Space Model NIPS 2024
DI-MaskDINO: A Joint Object Detection and Instance Segmentation Model NIPS 2024
Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding NIPS 2024
An Analysis of Tokenization: Transformers under Markov Data NIPS 2024
PTQ4DiT: Post-training Quantization for Diffusion Transformers NIPS 2024