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)
Impartial Multi-task Representation Learning via Variance-invariant Probabilistic Decoding
ACL 2025
ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs
ACL 2025
Imperative MPC: An End-to-End Self-Supervised Learning with Differentiable MPC for UAV Attitude Control
L4DC 2025
Imperceptible 3D Point Cloud Attacks on Lattice-based Barycentric Coordinates
AAAI 2025
Implementing and Evaluating Multi-source Retrieval-Augmented Translation
EMNLP 2025
Implicit Bias Injection Attacks against Text-to-Image Diffusion Models
CVPR 2025
Implicit Counterfactual Learning for Audio-Visual Segmentation
ICCV 2025
Implicit Hate Target Span Detection in Zero- and Few-Shot Settings with Selective Sub-Billion Parameter Models
ACL 2025
Implicit Location-Caption Alignment via Complementary Masking for Weakly-Supervised Dense Video Captioning
AAAI 2025
Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency Parsing
AAAI 2025
ImpliHateVid: A Benchmark Dataset and Two-stage Contrastive Learning Framework for Implicit Hate Speech Detection in Videos
ACL 2025
Importance-weighted Positive-unlabeled Learning for Distribution Shift Adaptation
AISTATS 2025
Importance Weighting Can Help Large Language Models Self-Improve
AAAI 2025
Imposter: Text and Frequency Guidance for Subject Driven Action Personalization using Diffusion Models
COLING 2025
Improbable Bigrams Expose Vulnerabilities of Incomplete Tokens in Byte-Level Tokenizers
EMNLP 2025
Improved Bounds for Online Facility Location with Predictions
AAAI 2025
Improved Diffusion-based Generative Model with Better Adversarial Robustness
ICLR 2025
Improved Monocular Depth Prediction Using Distance Transform Over Pre-semantic Contours with Self-supervised Neural Networks
CVPR 2025
Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization
AAAI 2025
Improved Techniques for Optimization-Based Jailbreaking on Large Language Models
ICLR 2025
Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles
UAI 2025
Improve LLM-as-a-Judge Ability as a General Ability
EMNLP 2025
Improve Representation for Imbalanced Regression through Geometric Constraints
CVPR 2025
Improve Rule Retrieval and Reasoning with Self-Induction and Relevance ReEstimate
ACL 2025
Improve Speech Translation Through Text Rewrite
COLING 2025