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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

38
179
3,018
5,737
'10
'15
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'25

Papers (including subtopics)

Computational Meme Understanding: A Survey EMNLP 2024 ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning AAAI 2024 Concealing Sensitive Samples against Gradient Leakage in Federated Learning AAAI 2024 Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models NeurIPS 2024 Concept-aware Data Construction Improves In-context Learning of Language Models ACL 2024 Concept-Guided Prompt Learning for Generalization in Vision-Language Models AAAI 2024 Concept-skill Transferability-based Data Selection for Large Vision-Language Models EMNLP 2024 Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models CVPR 2024 ConCon-Chi: Concept-Context Chimera Benchmark for Personalized Vision-Language Tasks CVPR 2024 Conditional Backdoor Attack via JPEG Compression AAAI 2024 Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment AAAI 2024 ConeQuest: A Benchmark for Cone Segmentation on Mars WACV 2024 Confidence-aware Contrastive Learning for Selective Classification ICML 2024 CONFORM: Contrast is All You Need for High-Fidelity Text-to-Image Diffusion Models CVPR 2024 Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum AAAI 2024 Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models NeurIPS 2024 Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised Learning NeurIPS 2024 Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models ICML 2024 Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters NeurIPS 2024 ConR: Contrastive Regularizer for Deep Imbalanced Regression ICLR 2024 CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework AAAI 2024 ConsistDreamer: 3D-Consistent 2D Diffusion for High-Fidelity Scene Editing CVPR 2024 Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering CVPR 2024 Consistency of Neural Causal Partial Identification NeurIPS 2024 Consistency Regularization for Domain Generalization with Logit Attribution Matching UAI 2024