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)
Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models
ACL 2025
Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection
UAI 2025
Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance
ICML 2025
Beyond Logits: Aligning Feature Dynamics for Effective Knowledge Distillation
ACL 2025
Beyond Losses Reweighting: Empowering Multi-Task Learning via the Generalization Perspective
ICCV 2025
Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation
ICML 2025
Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation
ICCV 2025
Beyond Online Sampling: Bridging Offline-to-Online Alignment via Dynamic Data Transformation for LLMs
EMNLP 2025
Beyond Output Matching: Bidirectional Alignment for Enhanced In-Context Learning
ACL 2025
Beyond Pixel and Object: Part Feature as Reference for Few-Shot Video Object Segmentation
AAAI 2025
Beyond Position: the emergence of wavelet-like properties in Transformers
ACL 2025
Beyond Prompt Engineering: A Reinforced Token-Level Input Refinement for Large Language Models
AAAI 2025
Beyond Sequence: Impact of Geometric Context for RNA Property Prediction
ICLR 2025
Beyond Sequences: Two-dimensional Representation and Dependency Encoding for Code Generation
ACL 2025
Beyond Sight: Towards Cognitive Alignment in LVLM via Enriched Visual Knowledge
CVPR 2025
Beyond Single Emotion: Multi-label Approach to Conversational Emotion Recognition
AAAI 2025
Beyond Single Frames: Can LMMs Comprehend Implicit Narratives in Comic Strip?
EMNLP 2025
Beyond Single-Modal Boundary: Cross-Modal Anomaly Detection through Visual Prototype and Harmonization
CVPR 2025
Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation
EMNLP 2025
Beyond the Leaderboard: Understanding Performance Disparities in Large Language Models via Model Diffing
EMNLP 2025
Beyond the Mode: Sequence-Level Distillation of Multilingual Translation Models for Low-Resource Language Pairs
NAACL 2025
Beyond UDA: Examining Temporal and Frequency Representations in Time Series Transfer
ACML 2025
Beyond Virtual Points: Depth-Enhanced LiDAR-only 3D Object Detection with Semi-Supervised Learning (Student Abstract)
AAAI 2025
Beyond Words: Multilingual and Multimodal Red Teaming of MLLMs
ACL 2025
Bias Attribution in Filipino Language Models: Extending a Bias Interpretability Metric for Application on Agglutinative Languages
ACL 2025