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

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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

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Papers (including subtopics)

Direct Speech Synthesis from Non-Invasive, Neuromagnetic Signals Interspeech 2024 DISCO: Distributed Inference With Sparse Communications WACV 2024 Discourse Relation Prediction and Discourse Parsing in Dialogues with Minimal Supervision EACL 2024 Discovering influential text using convolutional neural networks ACL 2024 Discovering Syntactic Interaction Clues for Human-Object Interaction Detection CVPR 2024 Discrete Dictionary-based Decomposition Layer for Structured Representation Learning NeurIPS 2024 Discrete-state Continuous-time Diffusion for Graph Generation NeurIPS 2024 Discriminative Feature Decoupling Enhancement for Speech Forgery Detection IJCAI 2024 Discriminative Probing and Tuning for Text-to-Image Generation CVPR 2024 DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis NeurIPS 2024 Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization ICML 2024 Disentangled Partial Label Learning AAAI 2024 Disentangled Prompt Representation for Domain Generalization CVPR 2024 Disentanglement-Guided Spatial-Temporal Graph Neural Network for Metro Flow Forecasting (Student Abstract) AAAI 2024 Disparate Impact on Group Accuracy of Linearization for Private Inference ICML 2024 DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models NeurIPS 2024 Dissecting Multimodality in VideoQA Transformer Models by Impairing Modality Fusion ICML 2024 Dissecting Query-Key Interaction in Vision Transformers NeurIPS 2024 Dissecting the Failure of Invariant Learning on Graphs NeurIPS 2024 Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers NeurIPS 2024 Distance-Aware Non-IID Federated Learning for Generalization and Personalization in Medical Imaging Segmentation MIDL 2024 Distilling Knowledge from Large-Scale Image Models for Object Detection ECCV 2024 Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control ICML 2024 Distinguished In Uniform: Self-Attention Vs. Virtual Nodes ICLR 2024 Distributed-Order Fractional Graph Operating Network NeurIPS 2024