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)
Benchmarking LLMs on Semantic Overlap Summarization
EMNLP 2025
Benchmarking Long-Context Language Models on Long Code Understanding
ACL 2025
Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program
ICCV 2025
Benchmarking Multimodal Models for Ukrainian Language Understanding Across Academic and Cultural Domains
ACL 2025
Benchmarking the Performance of Pre-trained LLMs across Urdu NLP Tasks
COLING 2025
Benchmarking Whisper for Low-Resource Speech Recognition: An N-Shot Evaluation on Pashto, Punjabi, and Urdu
COLING 2025
Benchmarking zero-shot biomedical relation triplet extraction across language model architectures
ACL 2025
Benchmark Profiling: Mechanistic Diagnosis of LLM Benchmarks
EMNLP 2025
Beneath the Facade: Probing Safety Vulnerabilities in LLMs via Auto-Generated Jailbreak Prompts
EMNLP 2025
Bengali ChartSumm: A Benchmark Dataset and study on feasibility of Large Language Models on Bengali Chart to Text Summarization
COLING 2025
Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety
ICML 2025
BERT-Based Code Learning for Exception Localization and Type Prediction
AAAI 2025
Best-Arm Identification in Unimodal Bandits
AISTATS 2025
Best Arm Identification with Possibly Biased Offline Data
UAI 2025
beta-FFT: Nonlinear Interpolation and Differentiated Training Strategies for Semi-Supervised Medical Image Segmentation
CVPR 2025
Better Understandings and Configurations in MaxSAT Stochastic Local Search Solvers via Anytime Performance Analysis
AAAI 2025
Beyond A Single AI Cluster: A Survey of Decentralized LLM Training
EMNLP 2025
Beyond Averages: Learning with Annotator Disagreement in STS
EMNLP 2025
Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation
CVPR 2025
Beyond Base Predictors: Using LLMs to Resolve Ambiguities in Akkadian Lemmatization
NAACL 2025
Beyond Benchmarks: Building a Richer Cross-Document Event Coreference Dataset with Decontextualization
NAACL 2025
Beyond Brain Decoding: Visual-Semantic Reconstructions to Mental Creation Extension Based on fMRI
ICCV 2025
Beyond Checkmate: Exploring the Creative Choke Points for AI Generated Texts
EMNLP 2025
Beyond Citations: Integrating Finding-Based Relations for Improved Biomedical Article Representations
ACL 2025
Beyond Classification: Towards Speech Emotion Reasoning with Multitask AudioLLMs
IJCNLP 2025