conftrace_

Techniques

9,432 papers (36 classified directly here)

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

Model Architecture (5,047) Pretraining (2,736) Attention (1,162) Normalization (434) Attention Mechanism (265)

Papers per year

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95

225

447

788

914

1,131

1,059

1,342

1,450

1,375

541

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Papers (including subtopics)

De^2Gaze: Deformable and Decoupled Representation Learning for 3D Gaze Estimation CVPR 2025 Debiasify: Self-Distillation for Unsupervised Bias Mitigation WACV 2025 Debiasing the Fine-Grained Classification Task in LLMs with Bias-Aware PEFT ACL 2025 dEBORA: Efficient Bilevel Optimization-based low-Rank Adaptation ICLR 2025 DeciMamba: Exploring the Length Extrapolation Potential of Mamba ICLR 2025 Deciphering Cross-Modal Alignment in Large Vision-Language Models via Modality Integration Rate ICCV 2025 DeCLIP: Decoding CLIP Representations for Deepfake Localization WACV 2025 Decoder-Only LLMs can be Masked Auto-Encoders ACL 2025 Decomposition Polyhedra of Piecewise Linear Functions ICLR 2025 Deconstructing Attention: Investigating Design Principles for Effective Language Modeling IJCNLP 2025 Decoupled Finetuning for Domain Generalizable Semantic Segmentation ICLR 2025 Decoupling Angles and Strength in Low-rank Adaptation ICLR 2025 Decoupling Training-Free Guided Diffusion by ADMM CVPR 2025 DeeperForward: Enhanced Forward-Forward Training for Deeper and Better Performance ICLR 2025 Deep Fair Multi-View Clustering with Attention KAN CVPR 2025 Deep Hypergraph Neural Networks with Tight Framelets AAAI 2025 DeepLA-Net: Very Deep Local Aggregation Networks for Point Cloud Analysis CVPR 2025 DeepMIM: Deep Supervision for Masked Image Modeling WACV 2025 DeformCL: Learning Deformable Centerline Representation for Vessel Extraction in 3D Medical Image CVPR 2025 Degradation-Aware Feature Perturbation for All-in-One Image Restoration CVPR 2025 DeMo: Decoupled Feature-Based Mixture of Experts for Multi-Modal Object Re-Identification AAAI 2025 Demystifying Synthetic Data in LLM Pre-training: A Systematic Study of Scaling Laws, Benefits, and Pitfalls EMNLP 2025 Denoised Attention and Question-Augmented Representations for Knowledge Tracing IJCAI 2025 Deploying Tiny LVLM Judges for Real-World Evaluation of Chart Models: Lessons Learned and Best Practices EMNLP 2025 Depth AnyEvent: A Cross-Modal Distillation Paradigm for Event-Based Monocular Depth Estimation ICCV 2025