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)
Sentiment Reasoning for Healthcare
ACL 2025
SEP: A General Lossless Compression Framework with Semantics Enhancement and Multi-Stream Pipelines
IJCAI 2025
Separating Knowledge and Perception with Procedural Data
ICML 2025
SepVAC: Multitask Learning of Speaker Separation, Speaker Localization, Microphone Array Localization, and Room Acoustic Parameter Estimation in Various Acoustic Conditions
Interspeech 2025
Seq2Time: Sequential Knowledge Transfer for Video LLM Temporal Grounding
CVPR 2025
SeqAR: Jailbreak LLMs with Sequential Auto-Generated Characters
NAACL 2025
SeqMvRL: A Sequential Fusion Framework for Multi-view Representation Learning
CVPR 2025
Sequence Matters: Harnessing Video Models in 3D Super-Resolution
AAAI 2025
Sequence models for continuous cell cycle stage prediction from brightfield images
MIDL 2025
Sequence to Sequence Reward Modeling: Improving RLHF by Language Feedback
AAAI 2025
Sequential Joint Dependency Aware Human Pose Estimation with State Space Model
AAAI 2025
Sequential Preference Optimization: Multi-Dimensional Preference Alignment with Implicit Reward Modeling
AAAI 2025
Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning
ICLR 2025
SeRA: Self-Reviewing and Alignment of LLMs using Implicit Reward Margins
ICLR 2025
Serial Lifelong Editing via Mixture of Knowledge Experts
ACL 2025
SeriesBench: A Benchmark for Narrative-Driven Drama Series Understanding
CVPR 2025
SET: Spectral Enhancement for Tiny Object Detection
CVPR 2025
Set Valued Predictions For Robust Domain Generalization
ICML 2025
SF2T: Self-supervised Fragment Finetuning of Video-LLMs for Fine-Grained Understanding
CVPR 2025
SFAL: Semantic-Functional Alignment Scores for Distributional Evaluation of Auto-Interpretability in Sparse Autoencoders
EMNLP 2025
SGC-Net: Stratified Granular Comparison Network for Open-Vocabulary HOI Detection
CVPR 2025
SGIC: A Self-Guided Iterative Calibration Framework for RAG
ACL 2025
SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image Segmentation
AAAI 2025
SHA256 at SemEval-2025 Task 4: Selective Amnesia – Constrained Unlearning for Large Language Models via Knowledge Isolation
SemEval 2025
Shadow-Activated Backdoor Attacks on Multimodal Large Language Models
ACL 2025