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)
Image Difference Captioning via Adversarial Preference Optimization
EMNLP 2025
ImageEval 2025: The First Arabic Image Captioning Shared Task
EMNLP 2025
ImageGem: In-the-wild Generative Image Interaction Dataset for Generative Model Personalization
ICCV 2025
Images as Noisy Labels: Unleashing the Potential of the Diffusion Model for Open-Vocabulary Semantic Segmentation
ICCV 2025
Imagine to Hear: Auditory Knowledge Generation can be an Effective Assistant for Language Models
ACL 2025
Imagine, Verify, Execute: Memory-guided Agentic Exploration with Vision-Language Models
CoRL 2025
IMFine: 3D Inpainting via Geometry-guided Multi-view Refinement
CVPR 2025
IMG: Calibrating Diffusion Models via Implicit Multimodal Guidance
ICCV 2025
Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models
CVPR 2025
Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection
AAAI 2025
Imitation Learning Based on Disentangled Representation Learning of Behavioral Characteristics
CoRL 2025
Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment
CVPR 2025
IMOL: Incomplete-Modality-Tolerant Learning for Multi-Domain Fake News Video Detection
ACL 2025
Impacts of Vocoder Selection on Tacotron-based Nepali Text-To-Speech Synthesis
COLING 2025
Impartial Multi-task Representation Learning via Variance-invariant Probabilistic Decoding
ACL 2025
ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs
ACL 2025
Imperceptible 3D Point Cloud Attacks on Lattice-based Barycentric Coordinates
AAAI 2025
Implicit Counterfactual Learning for Audio-Visual Segmentation
ICCV 2025
Implicit Hate Target Span Detection in Zero- and Few-Shot Settings with Selective Sub-Billion Parameter Models
ACL 2025
Implicit Location-Caption Alignment via Complementary Masking for Weakly-Supervised Dense Video Captioning
AAAI 2025
ImpliHateVid: A Benchmark Dataset and Two-stage Contrastive Learning Framework for Implicit Hate Speech Detection in Videos
ACL 2025
Importance-weighted Positive-unlabeled Learning for Distribution Shift Adaptation
AISTATS 2025
Importance Weighting Can Help Large Language Models Self-Improve
AAAI 2025
Improve Representation for Imbalanced Regression through Geometric Constraints
CVPR 2025
Improving Accuracy and Calibration via Differentiated Deep Mutual Learning
CVPR 2025