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

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15

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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

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Papers (including subtopics)

Assembly Fuzzy Representation on Hypergraph for Open-Set 3D Object Retrieval NeurIPS 2024 Assessing Pre-Built Speaker Recognition Models for Endangered Language Data COLING 2024 Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation NeurIPS 2024 Association Pattern-aware Fusion for Biological Entity Relationship Prediction NeurIPS 2024 A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data ICLR 2024 ASTRA: Aligning Speech and Text Representations for Asr without Sampling Interspeech 2024 A Structure-Aware Framework for Learning Device Placements on Computation Graphs NeurIPS 2024 A Survey of Data-Efficient Graph Learning IJCAI 2024 A Survey of Graph Meets Large Language Model: Progress and Future Directions IJCAI 2024 ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network AAAI 2024 Asymmetric Masked Distillation for Pre-Training Small Foundation Models CVPR 2024 A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors ICLR 2024 Asymmetry in Low-Rank Adapters of Foundation Models ICML 2024 Asymptotics of feature learning in two-layer networks after one gradient-step ICML 2024 Asymptotics of Learning with Deep Structured (Random) Features ICML 2024 A Tensor Decomposition Perspective on Second-order RNNs ICML 2024 A Theoretical Analysis of Backdoor Poisoning Attacks in Convolutional Neural Networks ICML 2024 A Theoretical Understanding of Self-Correction through In-context Alignment NeurIPS 2024 A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks ICML 2024 A Topological Perspective on Demystifying GNN-Based Link Prediction Performance ICLR 2024 A Topology-aware Graph Coarsening Framework for Continual Graph Learning NeurIPS 2024 A Transcription Prompt-based Efficient Audio Large Language Model for Robust Speech Recognition Interspeech 2024 A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning AAAI 2024 Attacking Transformers with Feature Diversity Adversarial Perturbation AAAI 2024 Attend First, Consolidate Later: On the Importance of Attention in Different LLM Layers EMNLP 2024