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

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15

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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

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Papers (including subtopics)

Masked Hard-Attention Transformers Recognize Exactly the Star-Free Languages NeurIPS 2024 MaskINT: Video Editing via Interpolative Non-autoregressive Masked Transformers CVPR 2024 MaskPLAN: Masked Generative Layout Planning from Partial Input CVPR 2024 MasonTigers at SemEval-2024 Task 8: Performance Analysis of Transformer-based Models on Machine-Generated Text Detection SemEval 2024 Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge ACL 2024 Mastering Context-to-Label Representation Transformation for Event Causality Identification with Diffusion Models AAAI 2024 Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks ICLR 2024 Mast Kalandar at SemEval-2024 Task 8: On the Trail of Textual Origins: RoBERTa-BiLSTM Approach to Detect AI-Generated Text SemEval 2024 MatFormer: Nested Transformer for Elastic Inference NeurIPS 2024 Matrix Manifold Neural Networks++ ICLR 2024 MatrixNet: Learning over symmetry groups using learned group representations NeurIPS 2024 Matryoshka Query Transformer for Large Vision-Language Models NeurIPS 2024 MATTER: Memory-Augmented Transformer Using Heterogeneous Knowledge Sources ACL 2024 Maverick: Efficient and Accurate Coreference Resolution Defying Recent Trends ACL 2024 MaxEnt Loss: Calibrating Graph Neural Networks under Out-of-Distribution Shift (Student Abstract) AAAI 2024 MccSTN: Multi-Scale Contrast and Fine-Grained Feature Fusion Networks for Subject-driven Style Transfer COLING 2024 MC-DiT: Contextual Enhancement via Clean-to-Clean Reconstruction for Masked Diffusion Models NeurIPS 2024 MCM: Multi-condition Motion Synthesis Framework IJCAI 2024 MCNet: Rethinking the Core Ingredients for Accurate and Efficient Homography Estimation CVPR 2024 MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction AAAI 2024 Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input NeurIPS 2024 Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective ICML 2024 Mean-Shift Feature Transformer CVPR 2024 MEANT: Multimodal Encoder for Antecedent Information EMNLP 2024 Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models NeurIPS 2024