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)
Progressive Rendering Distillation: Adapting Stable Diffusion for Instant Text-to-Mesh Generation without 3D Data
CVPR 2025
Progressive Test Time Energy Adaptation for Medical Image Segmentation
ICCV 2025
ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models
CVPR 2025
ProLongVid: A Simple but Strong Baseline for Long-context Video Instruction Tuning
EMNLP 2025
ProMALex: Progressive Modular Adapters for Multi-Jurisdictional Legal Language Modeling
ACL 2025
ProMedTS: A Self-Supervised, Prompt-Guided Multimodal Approach for Integrating Medical Text and Time Series
ACL 2025
Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms
AAAI 2025
Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning
AAAI 2025
Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis
AAAI 2025
Prompt as Knowledge Bank: Boost Vision-language model via Structural Representation for zero-shot medical detection
ICLR 2025
Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation
ACL 2025
PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts
Interspeech 2025
Prompt Guidance and Human Proximal Perception for HOT Prediction with Regional Joint Loss
ICCV 2025
Prompt-Guided Augmentation and Multi-modal Fusion for Argumentative Fallacy Classification in Political Debates
ACL 2025
PromptHaze: Prompting Real-world Dehazing via Depth Anything Model
AAAI 2025
PromptHMR: Promptable Human Mesh Recovery
CVPR 2025
Prompting Large Language Models for Italian Clinical Reports: A Benchmark Study
ACL 2025
Prompting Metaphoricity: Soft Labeling with Large Language Models in Popular Communication of Science Tweets in Spanish
ACL 2025
Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages
ACL 2025
Prompt Tuning Can Simply Adapt Large Language Models to Text Encoders
NAACL 2025
PROPER: A Progressive Learning Framework for Personalized Large Language Models with Group-Level Adaptation
ACL 2025
ProReason: Multi-Modal Proactive Reasoning with Decoupled Eyesight and Wisdom
EMNLP 2025
Prosodically Enhanced Foreign Accent Simulation by Discrete Token-based Resynthesis Only with Native Speech Corpora
Interspeech 2025
Prosodic Structure Beyond Lexical Content: A Study of Self-Supervised Learning
Interspeech 2025
Prosody-Adaptable Audio Codecs for Zero-Shot Voice Conversion via In-Context Learning
Interspeech 2025