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
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'25
Papers (including subtopics)
Out-of-Distribution Generalization on Graphs via Progressive Inference
AAAI 2025
Out-of-distribution robustness for multivariate analysis via causal regularisation
AISTATS 2025
Overcoming Data Scarcity in Multi-Dialectal Arabic ASR via Whisper Fine-Tuning
Interspeech 2025
Overcoming Domain Knowledge Forgetting in Continual Test-Time Adaptation via Siamese Networks
ACML 2025
Overcoming Heterogeneous Data in Federated Medical Vision-Language Pre-training: A Triple-Embedding Model Selector Approach
AAAI 2025
Overcoming Shortcut Problem in VLM for Robust Out-of-Distribution Detection
CVPR 2025
Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge
Interspeech 2025
Overview of MM-ArgFallacy2025 on Multimodal Argumentative Fallacy Detection and Classification in Political Debates
ACL 2025
Overview of the BioLaySumm 2025 Shared Task on Lay Summarization of Biomedical Research Articles and Radiology Reports
ACL 2025
Overview of the SciHal25 Shared Task on Hallucination Detection for Scientific Content
ACL 2025
OVG-HQ: Online Video Grounding with Hybrid-modal Queries
ICCV 2025
OWL: Probing Cross-Lingual Recall of Memorized Texts via World Literature
EMNLP 2025
OW-OVD: Unified Open World and Open Vocabulary Object Detection
CVPR 2025
OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary
Interspeech 2025
OWSM v4: Improving Open Whisper-Style Speech Models via Data Scaling and Cleaning
Interspeech 2025
OZSpeech: One-step Zero-shot Speech Synthesis with Learned-Prior-Conditioned Flow Matching
ACL 2025
P2 Law: Scaling Law for Post-Training After Model Pruning
ACL 2025
P²Net: Parallel Pointer-based Network for Key Information Extraction with Complex Layouts
ACL 2025
PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning
AAAI 2025
PABBO: Preferential Amortized Black-Box Optimization
ICLR 2025
Packing Analysis: Packing Is More Appropriate for Large Models or Datasets in Supervised Fine-tuning
ACL 2025
PAEFF: Precise Alignment and Enhanced Gated Feature Fusion for Face-Voice Association
Interspeech 2025
PAFT: Prompt-Agnostic Fine-Tuning
EMNLP 2025
Paired by the Teacher: Turning Unpaired Data into High-Fidelity Pairs for Low-Resource Text Generation
EMNLP 2025
PanAdapter: Two-Stage Fine-Tuning with Spatial-Spectral Priors Injecting for Pansharpening
AAAI 2025