Transformers
11,186 papers
Papers per year
1
2
6
18
77
188
444
889
1,234
1,664
1,842
2,018
2,189
614
'15
'20
'25
Papers
Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders
EACL 2024
Improving Spectral Snapshot Reconstruction with Spectral-Spatial Rectification
CVPR 2024
Improving Streaming Speech Recognition With Time-Shifted Contextual Attention And Dynamic Right Context Masking
Interspeech 2024
Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection
AAAI 2024
Improving Transformers with Dynamically Composable Multi-Head Attention
ICML 2024
IM-Unpack: Training and Inference with Arbitrarily Low Precision Integers
ICML 2024
In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging
CVPR 2024
In-context Convergence of Transformers
ICML 2024
In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization
ICML 2024
In-context Learning and Gradient Descent Revisited
NAACL 2024
In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization
NeurIPS 2024
In-context Learning on Function Classes Unveiled for Transformers
ICML 2024
In-Context Learning with Representations: Contextual Generalization of Trained Transformers
NeurIPS 2024
In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness
NeurIPS 2024
Individuation in Neural Models with and without Visual Grounding
EMNLP 2024
Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs
AAAI 2024
Industry vs Academia: Running a Course on Transformers in Two Setups
ACL 2024
Infinite Limits of Multi-head Transformer Dynamics
NeurIPS 2024
Initialization is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizing
NeurIPS 2024
Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation
NeurIPS 2024
In Pursuit of Causal Label Correlations for Multi-label Image Recognition
NeurIPS 2024
Instance-Aware Group Quantization for Vision Transformers
CVPR 2024
Instant3D: Fast Text-to-3D with Sparse-view Generation and Large Reconstruction Model
ICLR 2024
InstructGIE: Towards Generalizable Image Editing
ECCV 2024
Instruction Embedding: Latent Representations of Instructions Towards Task Identification
NeurIPS 2024