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)
Is In-Context Learning Sufficient for Instruction Following in LLMs?
ICLR 2025
Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation
ICCV 2025
Is linguistically-motivated data augmentation worth it?
ACL 2025
Is LLM an Overconfident Judge? Unveiling the Capabilities of LLMs in Detecting Offensive Language with Annotation Disagreement
ACL 2025
Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection
AAAI 2025
Is Lunch Free Yet? Overcoming the Cold-Start Problem in Supervised Content Scoring using Zero-Shot LLM-Generated Training Data
ACL 2025
Is Meta-Learning Out? Rethinking Unsupervised Few-Shot Classification with Limited Entropy
ICCV 2025
Is my Meeting Summary Good? Estimating Quality with a Multi-LLM Evaluator
COLING 2025
Is Parameter Collision Hindering Continual Learning in LLMs?
COLING 2025
I Speak for the Árboles: Developing a Dependency Treebank for Spanish L2 and Heritage Speakers
ACL 2025
Is Poisoning a Real Threat to DPO? Maybe More So Than You Think
AAAI 2025
Is Prior-Free Black-Box Non-Stationary Reinforcement Learning Feasible?
AISTATS 2025
Is the Top Still Spinning? Evaluating Subjectivity in Narrative Understanding
EMNLP 2025
Is Visual in-Context Learning for Compositional Medical Tasks within Reach?
ICCV 2025
Is your benchmark truly adversarial? AdvScore: Evaluating Human-Grounded Adversarialness
NAACL 2025
ITALIC: An Italian Culture-Aware Natural Language Benchmark
NAACL 2025
iTBLS: A Dataset of Interactive Conversations Over Tabular Information
ACL 2025
It Depends: Resolving Referential Ambiguity in Minimal Contexts with Commonsense Knowledge
EMNLP 2025
Iterated Belief Change as Learning
IJCAI 2025
Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision
ICLR 2025
Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning
ICLR 2025
Iterative Repair with Weak Verifiers for Few-shot Transfer in KBQA with Unanswerability
ACL 2025
Iterative Self-Training with Class-Aware Text-to-Image Synthesis for Visual Task Learning
AAAI 2025
Iterative Sparse Attention for Long-sequence Recommendation
AAAI 2025
IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
ICLR 2025