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)
All-in-One Image Compression and Restoration
WACV 2025
All-in-One: Transferring Vision Foundation Models into Stereo Matching
AAAI 2025
All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages
CVPR 2025
(Almost) Free Modality Stitching of Foundation Models
EMNLP 2025
ALMTokenizer: A Low-bitrate and Semantic-rich Audio Codec Tokenizer for Audio Language Modeling
ICML 2025
A Lottery Ticket Hypothesis Approach with Sparse Fine-tuning and MAE for Image Forgery Detection and Localization
AAAI 2025
ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect
AAAI 2025
ALW: Adaptive Layer-Wise contrastive decoding enhancing reasoning ability in Large Language Models
ACL 2025
Alzheimer’s Disease Detection Using Co-Attention Mechanism for Acoustic and ASR-Transcribed Text Features
Interspeech 2025
Ambiguity-Restrained Text-Video Representation Learning for Partially Relevant Video Retrieval
AAAI 2025
Ambiguous Instance-Aware Contrastive Network with Multi-Level Matching for Multi-View Document Clustering
AAAI 2025
AMD: Adaptive Momentum and Decoupled Contrastive Learning Framework for Robust Long-Tail Trajectory Prediction
ICCV 2025
AMEX: Android Multi-annotation Expo Dataset for Mobile GUI Agents
ACL 2025
Amodal Depth Anything: Amodal Depth Estimation in the Wild
ICCV 2025
A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment
ACL 2025
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference
AISTATS 2025
A Mousetrap: Fooling Large Reasoning Models for Jailbreak with Chain of Iterative Chaos
ACL 2025
A.M.P at SciHal2025: Automated Hallucination Detection in Scientific Content via LLMs and Prompt Engineering
ACL 2025
AmpleHate: Amplifying the Attention for Versatile Implicit Hate Detection
EMNLP 2025
Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting
AAAI 2025
An Adaptive Method for Weak Supervision with Drifting Data
AISTATS 2025
An Address Intelligence Framework for E-commerce Deliveries
EMNLP 2025
Analysis and Evaluation of Synthetic Data Generation in Speech Dysfluency Detection
Interspeech 2025
Analysis of ABC Frontend Audio Systems for the NIST-SRE24
Interspeech 2025
Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods
ICLR 2025