conftrace_

Learning Types

32,670 papers (1 classified directly here)

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

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)

Papers per year

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22

25

29

26

38

46

60

109

129

179

310

686

1,294

2,286

3,018

3,254

3,930

4,067

4,819

5,737

2,605

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Papers (including subtopics)

SynthAgent: Adapting Web Agents with Synthetic Supervision ACL 2026 Synthetic Curriculum Reinforces Compositional Text-to-Image Generation CVPR 2026 Synthetic Object Compositions for Scalable and Accurate Learning in Detection, Segmentation, and Grounding CVPR 2026 Synthetic Vasculature and Pathology Enhance Vision-Language Model Reasoning MIDL 2026 SynthRGB-T: Language-Vision Guided Image Translation for Diversity Synthesis CVPR 2026 Tables Guide Vision: Learning to See the Heart through Tabular Data WACV 2026 Tackling Model Bias via Game-theoretic Multi-agent Collaboration Framework for Hateful Meme Classification CVPR 2026 TACO: Task-Aware Contrastive Learning for Joint LiDAR Localization and 3D Object Detection CVPR 2026 TacSIm: A Dataset and Benchmark for Football Tactical Style Imitation CVPR 2026 TA-GRPO-d: Trajectory-Aware GRPO for Optimizing Denoising Trajectories in Diffusion LLMs ACL 2026 Tailored Primitive Initialization is the Secret Key to Reinforcement Learning ACL 2026 Takoyaki at SemEval-2026 Task 3: Ensembling LLM Predictions using Demonstration Retrieval for Dimensional Aspect-based Sentiment Analysis SemEval 2026 Talking Together: Synthesizing Co-Located 3D Conversations from Audio CVPR 2026 TalkLoRA: Communication-Aware Mixture of Low-Rank Adaptation for Large Language Models ACL 2026 TALON: Test-time Adaptive Learning for On-the-Fly Category Discovery CVPR 2026 TAMA: Target-Aware Multilingual Abuse Detection by Cascaded Conditional Multi-Task Learning ACL 2026 TAMER: A Tri-Modal Contrastive Alignment and Multi-Scale Embedding Refinement Framework for Zero-Shot ECG Diagnosis CVPR 2026 Taming Sampling Perturbations with Variance Expansion Loss for Latent Diffusion Models CVPR 2026 Taming the Long Tail: Rebalancing Adversarial Training via Adaptive Perturbation CVPR 2026 TANGO: Text-Anchored Guided Optimization for Robust Fine-tuning Vision-Language Models under Label Noise CVPR 2026 TAP: A Token-Adaptive Predictor Framework for Training-Free Diffusion Acceleration CVPR 2026 TAP-CT: 3D Task-Agnostic Pretraining of Computed Tomography Foundation Models MIDL 2026 TAPE: Task-Adaptive Prototype Evolution in Audio-Language Models for Fully Few-shot Class-incremental Audio Classification CVPR 2026 TARE: Lightweight Token-Aware Representation Editing for Fine-tuning Transformer-like Models ACL 2026 Target-Aware Invertible Encoder with Reconstruction Guidance for Infrared Small Target Detection CVPR 2026