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)
Linear Causal Bandits: Unknown Graph and Soft Interventions
NeurIPS 2024
Linear-Complexity Self-Supervised Learning for Speech Processing
Interspeech 2024
Linear Distance Metric Learning with Noisy Labels
JMLR 2024
Linearly Constrained Gaussian Processes are SkewGPs: application to Monotonic Preference Learning and Desirability
UAI 2024
Linear Regression using Heterogeneous Data Batches
NeurIPS 2024
Linear Regression With Unmatched Data: A Deconvolution Perspective
JMLR 2024
Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs
AAAI 2024
Linear Transformers are Versatile In-Context Learners
NeurIPS 2024
Linear Uncertainty Quantification of Graphical Model Inference
NeurIPS 2024
Linguistically Communicating Uncertainty in Patient-Facing Risk Prediction Models
EACL 2024
Linguistic-Aware Patch Slimming Framework for Fine-grained Cross-Modal Alignment
CVPR 2024
LingWav2Vec2: Linguistic-augmented wav2vec 2.0 for Vietnamese Mispronunciation Detection
Interspeech 2024
LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs
EMNLP 2024
LinkPrompt: Natural and Universal Adversarial Attacks on Prompt-based Language Models
NAACL 2024
Link, Synthesize, Retrieve: Universal Document Linking for Zero-Shot Information Retrieval
EMNLP 2024
LIONs: An Empirically Optimized Approach to Align Language Models
EMNLP 2024
Lips Are Lying: Spotting the Temporal Inconsistency between Audio and Visual in Lip-Syncing DeepFakes
NeurIPS 2024
LIRE: listwise reward enhancement for preference alignment
ACL 2024
LISO: Lidar-only Self-Supervised 3D Object Detection
ECCV 2024
Listenable Maps for Zero-Shot Audio Classifiers
NeurIPS 2024
ListT5: Listwise Reranking with Fusion-in-Decoder Improves Zero-shot Retrieval
ACL 2024
LitSearch: A Retrieval Benchmark for Scientific Literature Search
EMNLP 2024
LI-TTA: Language Informed Test-Time Adaptation for Automatic Speech Recognition
Interspeech 2024
Little Red Riding Hood Goes around the Globe: Crosslingual Story Planning and Generation with Large Language Models
COLING 2024
Live and Learn: Continual Action Clustering with Incremental Views
AAAI 2024