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
'15
'20
'25
Papers (including subtopics)
Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases
ACL 2025
BEVSync: Asynchronous Data Alignment for Camera-based Vehicle-Infrastructure Cooperative Perception Under Uncertain Delays
AAAI 2025
Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs
ACL 2025
Beyond Accuracy: On the Effects of Fine-Tuning Towards Vision-Language Model’s Prediction Rationality
AAAI 2025
Beyond Base Predictors: Using LLMs to Resolve Ambiguities in Akkadian Lemmatization
NAACL 2025
Beyond Boxes: Mask-Guided Spatio-Temporal Feature Aggregation for Video Object Detection
WACV 2025
Beyond Citations: Integrating Finding-Based Relations for Improved Biomedical Article Representations
ACL 2025
Beyond Coarse Labels: Fine-Grained Problem Augmentation and Multi-Dimensional Feedback for Emotional Support Conversation
EMNLP 2025
Beyond Content: How Grammatical Gender Shapes Visual Representation in Text-to-Image Models
EMNLP 2025
Beyond Correctness: Confidence-Aware Reward Modeling for Enhancing Large Language Model Reasoning
EMNLP 2025
Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals’ Subjective Text Perceptions
ACL 2025
Beyond Demonstrations: Dynamic Vector Construction from Latent Representations
EMNLP 2025
Beyond Dialogue: A Profile-Dialogue Alignment Framework Towards General Role-Playing Language Model
ACL 2025
Beyond End-to-End VLMs: Leveraging Intermediate Text Representations for Superior Flowchart Understanding
NAACL 2025
Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation
ICML 2025
Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration
ICLR 2025
Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed Data
AAAI 2025
Beyond Frameworks: Unpacking Collaboration Strategies in Multi-Agent Systems
ACL 2025
Beyond Generation: A Diffusion-based Low-level Feature Extractor for Detecting AI-generated Images
CVPR 2025
Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs
AAAI 2025
Beyond Hard Sharing: Efficient Multi-Task Speech-to-Text Modeling with Supervised Mixture of Experts
Interspeech 2025
Beyond Homophily: Graph Contrastive Learning with Macro-Micro Message Passing
AAAI 2025
Beyond IID: Optimizing Instruction Finetuning from the Perspective of Instruction Interaction and Dependency
AAAI 2025
Beyond Image Classification: A Video Benchmark and Dual-Branch Hybrid Discrimination Framework for Compositional Zero-Shot Learning
CVPR 2025
Beyond In-Context Learning: Aligning Long-form Generation of Large Language Models via Task-Inherent Attribute Guidelines
ACL 2025