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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)

Language Models Can be Efficiently Steered via Minimal Embedding Layer Transformations EMNLP 2025 Language Models, Graph Searching, and Supervision Adulteration: When More Supervision is Less and How to Make More More ACL 2025 Language Models of Code Are Few-Shot Planners and Reasoners for Multi-Document Summarization with Attribution AAAI 2025 Language Pre-training Guided Masking Representation Learning for Time Series Classification AAAI 2025 Language Repository for Long Video Understanding ACL 2025 Language Representations Can be What Recommenders Need: Findings and Potentials ICLR 2025 LangVAE and LangSpace: Building and Probing for Language Model VAEs EMNLP 2025 LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding ICLR 2025 Large Images Are Gaussians: High-Quality Large Image Representation with Levels of 2D Gaussian Splatting AAAI 2025 Large Language Model Meets Graph Neural Network in Knowledge Distillation AAAI 2025 Large Language Models are Good Relational Learners ACL 2025 Large Language Models Might Not Care What You Are Saying: Prompt Format Beats Descriptions EMNLP 2025 Large Language Models Still Exhibit Bias in Long Text ACL 2025 Large Multi-modal Models Can Interpret Features in Large Multi-modal Models ICCV 2025 Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image Generator CVPR 2025 Large-Scale Training Data Attribution for Music Generative Models via Unlearning NeurIPS 2025 Large Self-Supervised Models Bridge the Gap in Domain Adaptive Object Detection CVPR 2025 Lark: Low-Rank Updates After Knowledge Localization for Few-shot Class-Incremental Learning ICCV 2025 Latency Robust Cooperative Perception using Asynchronous Feature Fusion WACV 2025 Latent Diffusion-Enhanced Virtual Try-On via Optimized Pseudo-Label Generation AAAI 2025 Latent Imputation before Prediction: A New Computational Paradigm for De Novo Peptide Sequencing ICML 2025 Latent Space Imaging CVPR 2025 LATTE: Learning Aligned Transactions and Textual Embeddings for Bank Clients EMNLP 2025 LATTE: Learning to Think with Vision Specialists EMNLP 2025 Latte: Transfering LLMs' Latent-level Knowledge for Few-shot Tabular Learning IJCAI 2025