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

1

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

'10

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Papers (including subtopics)

Bayes-Optimal Fair Classification with Linear Disparity Constraints via Pre-, In-, and Post-processing JMLR 2026 b-CLIP: Text-Conditioned Contrastive Learning for Multi-Granular Vision-Language Alignment CVPR 2026 BD-Merging: Bias-Aware Dynamic Model Merging with Evidence-Guided Contrastive Learning CVPR 2026 BDNet:Bio-Inspired Dual-Backbone Small Object Detection Network CVPR 2026 BeautyGRPO: Aesthetic Alignment for Face Retouching via Dynamic Path Guidance and Fine-Grained Preference Modeling CVPR 2026 BEFT: Bias-Efficient Fine-Tuning of Language Models in Low-Data Regimes ACL 2026 Being Positive about Negative Queries: Exclusion Aware Multimodal Retrieval using Disentangled Representations WACV 2026 Benchmarking Endoscopic Surgical Image Restoration and Beyond CVPR 2026 BertKittens at SemEval-2026 Task 3: Multi-Domain Aspect Sentiment with BERT/DeBERTa Ensembles for VA Regression and Aspect–Opinion–VA Triplets SemEval 2026 Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach ACL 2026 BEV-SLD: Self-Supervised Scene Landmark Detection for Global Localization with LiDAR Bird's-Eye View Images CVPR 2026 Beyond Atomic Characters: Glyph-Aware Sub-character Alignment for Low-Resource Multilingual OCR ACL 2026 Beyond Binary Contrast: Modeling Continuous Skeleton Action Spaces with Transitional Anchors CVPR 2026 Beyond Classification: Elaborating Network Predictions for Better Weakly Supervised Quantization MIDL 2026 Beyond [CLS] Token: Query-Driven Token-Level Forgery Purification for Generalizable Deepfake Detection CVPR 2026 Beyond Code Pairs: Dialogue-Based Data Generation for LLM Code Translation ACL 2026 Beyond Duality: A Hybrid Framework of Leveraging Shared and Private Features for RGB-Event Object Detection CVPR 2026 Beyond End-to-End: Dynamic Chain Optimization for Private LLM Adaptation on the Edge ACL 2026 Beyond Experience Retrieval: Learning to Generate Utility-Optimized Structured Experience for Frozen LLMs ACL 2026 Beyond Explicit Language: Plug-and-Play Visual-to-Linguistic Modeling Toward General Object Tracking CVPR 2026 Beyond Graph Model: Reliable VLM Fine-Tuning via Random Graph Adapter CVPR 2026 Beyond Ground-Truth: Leveraging Image Quality Priors for Real-World Image Restoration CVPR 2026 Beyond Instruction Optimization: Multi-Agent Error-Driven Class Description Refinement for LLM-Based Classification ACL 2026 Beyond Layer-Wise Merging: Chain-of-Merging for Vision-Language Models CVPR 2026 Beyond Machine Interpretation: Learning from Expert Over-Reads Improves ECG Diagnosis MIDL 2026