Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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Papers (including subtopics)
CabNIR: A Benchmark for In-Vehicle Infrared Monocular Depth Estimation
WACV 2025
CACA: Context-Aware Cross-Attention Network for Extractive Aspect Sentiment Quad Prediction
COLING 2025
CACE: Sim-to-Real Indoor 3D Semantic Segmentation via Context-Aware Augmentation and Consistency Enforcement
WACV 2025
CADCrafter: Generating Computer-Aided Design Models from Unconstrained Images
CVPR 2025
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging
CVPR 2025
CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization (Abstract Reprint)
IJCAI 2025
CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability
EMNLP 2025
CA-GAR: Context-Aware Alignment of LLM Generation for Document Retrieval
ACL 2025
CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation
AAAI 2025
CAKE: Category Aware Knowledge Extraction for Open-Vocabulary Object Detection
AAAI 2025
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding
WACV 2025
CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges
ACL 2025
Calibrated Computation-Aware Gaussian Processes
AISTATS 2025
Calibrated Disambiguation for Partial Multi-label Learning
AAAI 2025
Calibrated Inference: Statistical Inference that Accounts for Both Sampling Uncertainty and Distributional Uncertainty
JMLR 2025
Calibrated Multi-Preference Optimization for Aligning Diffusion Models
CVPR 2025
Calibrated Regression Against An Adversary Without Regret
UAI 2025
Calibrating Language Models for Neural Ranking under Noisy Supervision with Relaxed Labels
EMNLP 2025
Calibrating LLM Confidence by Probing Perturbed Representation Stability
EMNLP 2025
Calibrating Pseudo-Labeling with Class Distribution for Semi-supervised Text Classification
EMNLP 2025
CaliMatch: Adaptive Calibration for Improving Safe Semi-supervised Learning
ICCV 2025
Call for Rigor in Reporting Quality of Instruction Tuning Data
ACL 2025
CALLIC: Content Adaptive Learning for Lossless Image Compression
AAAI 2025
CALM: Consensus-Aware Localized Merging for Multi-Task Learning
ICML 2025
CaLQuest.PT: Towards the Collection and Evaluation of Natural Causal Ladder Questions in Portuguese for AI Agents
COLING 2025