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)
Towards Few-Shot Training-Free Anomaly Sound Detection
Interspeech 2025
Towards General-Domain Word Sense Disambiguation: Distilling Large Language Model into Compact Disambiguator
EMNLP 2025
Towards Generalizable Scene Change Detection
CVPR 2025
Towards General-Purpose Model-Free Reinforcement Learning
ICLR 2025
Towards General Visual-Linguistic Face Forgery Detection
CVPR 2025
Towards Geo-Culturally Grounded LLM Generations
ACL 2025
Towards Higher Effective Rank in Parameter-Efficient Fine-tuning using Khatri-Rao Product
ICCV 2025
Towards High-Quality LLM-Based Data for French Spontaneous Speech Simplification: an Exo-Refinement Approach
Interspeech 2025
Towards Homogeneous Lexical Tone Decoding from Heterogeneous Intracranial Recordings
ICLR 2025
Towards Inclusive ASR: Investigating Voice Conversion for Dysarthric Speech Recognition in Low-Resource Languages
Interspeech 2025
Towards Infinite-Long Prefix in Transformer
EMNLP 2025
Towards Learning High-Precision Least Squares Algorithms with Sequence Models
ICLR 2025
Towards Learning to Complete Anything in Lidar
ICML 2025
Towards LLM-Empowered Fine-Grained Speech Descriptors for Explainable Emotion Recognition
Interspeech 2025
Towards LLM-powered Attentive Listener: A Pragmatic Approach through Quantity Self-Repair
ACL 2025
Towards Loss-Resilient Image Coding for Unstable Satellite Networks
AAAI 2025
Towards Machine Unlearning for Paralinguistic Speech Processing
Interspeech 2025
Towards Memorization Estimation: Fast, Formal and Free
ICML 2025
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks
CVPR 2025
Towards More Discriminative Feature Learning in SNNs with Temporal-Self-Erasing Supervision
AAAI 2025
Towards Multi-dimensional Evaluation of LLM Summarization across Domains and Languages
ACL 2025
Towards Multi-Level Transcript Segmentation: LoRA Fine-Tuning for Table-of-Contents Generation
Interspeech 2025
Towards Multimodal Sentiment Analysis via Hierarchical Correlation Modeling with Semantic Distribution Constraints
AAAI 2025
Towards Natural Language-Based Document Image Retrieval: New Dataset and Benchmark
CVPR 2025
Towards Objective Fine-tuning: How LLMs’ Prior Knowledge Causes Potential Poor Calibration?
ACL 2025