conftrace_

Architectures

30,950 papers (33 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Neural Networks (13,168) Transformers (11,186) Graph Neural Networks (5,491) Autoencoders (1,313) Convolutional Neural Networks (1,049) Recurrent Neural Networks (675) Generative Adversarial Networks (94) Encoder-Decoder (36)

Papers per year

2

3

15

13

18

17

27

39

43

74

94

221

536

912

1,611

2,559

3,004

3,504

3,729

4,021

4,550

4,519

1,439

'10

'15

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'25

Papers (including subtopics)

Decoder-only Streaming Transformer for Simultaneous Translation ACL 2024 Decomposable Transformer Point Processes NeurIPS 2024 Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP NeurIPS 2024 Decomposing Fusional Morphemes with Vector Embeddings NAACL 2024 Deconstructing the Goldilocks Zone of Neural Network Initialization ICML 2024 DeCoTR: Enhancing Depth Completion with 2D and 3D Attentions CVPR 2024 Decoupled Contrastive Multi-View Clustering with High-Order Random Walks AAAI 2024 Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks ICML 2024 Decoupling Semantic Similarity from Spatial Alignment for Neural Networks. NeurIPS 2024 Decoupling User Relationships Guides Information Diffusion Prediction (Student Abstract) AAAI 2024 Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks ICLR 2024 DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach NeurIPS 2024 DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models NAACL 2024 Deep Backward and Galerkin Methods for the Finite State Master Equation JMLR 2024 Deep blind arterial input function: signal correction in perfusion cardiac magnetic resonance MIDL 2024 DeepBranchTracer: A Generally-Applicable Approach to Curvilinear Structure Reconstruction Using Multi-Feature Learning AAAI 2024 Deep Contrastive Graph Learning with Clustering-Oriented Guidance AAAI 2024 Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration ICML 2024 Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification AISTATS 2024 DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection NeurIPS 2024 Deep Embedding Clustering Driven by Sample Stability IJCAI 2024 Deep Equilibrium Algorithmic Reasoning NeurIPS 2024 Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss ICML 2024 Deep Geodesic Canonical Correlation Analysis for Covariance-Based Neuroimaging Data ICLR 2024 Deep Graph Mating NeurIPS 2024