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

'20

'25

Papers (including subtopics)

HOPE for a Robust Parameterization of Long-memory State Space Models ICLR 2025 HORT: Monocular Hand-held Objects Reconstruction with Transformers ICCV 2025 HOTFormerLoc: Hierarchical Octree Transformer for Versatile Lidar Place Recognition Across Ground and Aerial Views CVPR 2025 HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embedding CVPR 2025 How a Bilingual LM Becomes Bilingual: Tracing Internal Representations with Sparse Autoencoders EMNLP 2025 How Aligned Are Unimodal Language and Graph Encodings of Chemical Molecules? IJCNLP 2025 Howard University-AI4PC at SemEval-2025 Task 10: Ensembling LLMs for Multi-lingual Multi-Label and Multi-Class Meta-Classification SemEval 2025 (How) Can Transformers Predict Pseudo-Random Numbers? ICML 2025 How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning ICLR 2025 How do autoregressive transformers solve full addition? EMNLP 2025 How Do I Do That? Synthesizing 3D Hand Motion and Contacts for Everyday Interactions CVPR 2025 How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation ICML 2025 How Do Position Encodings Affect Length Generalization? Case Studies On In-Context Function Learning AAAI 2025 How Do Transformers Learn Variable Binding in Symbolic Programs? ICML 2025 How Feature Learning Can Improve Neural Scaling Laws ICLR 2025 How Gradient descent balances features: A dynamical analysis for two-layer neural networks ICLR 2025 How many samples are needed to train a deep neural network? ICLR 2025 How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees ICML 2025 How Not to Stitch Representations to Measure Similarity: Task Loss Matching Versus Direct Matching AAAI 2025 How Programming Concepts and Neurons Are Shared in Code Language Models ACL 2025 How to Generalize the Detection of AI-Generated Text: Confounding Neurons EMNLP 2025 How Well Can Transformers Emulate In-Context Newton’s Method? AISTATS 2025 HS-FPN: High Frequency and Spatial Perception FPN for Tiny Object Detection AAAI 2025 HSGM: Hierarchical Segment-Graph Memory for Scalable Long-Text Semantics EMNLP 2025 HSI: A Holistic Style Injector for Arbitrary Style Transfer CVPR 2025