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)
Amodal Intra-Class Instance Segmentation: Synthetic Datasets and Benchmark
WACV 2024
Amortized Active Causal Induction with Deep Reinforcement Learning
NeurIPS 2024
Amortizing intractable inference in diffusion models for vision, language, and control
NeurIPS 2024
AMPO: Automatic Multi-Branched Prompt Optimization
EMNLP 2024
A multi-level multi-label text classification dataset of 19th century Ottoman and Russian literary and critical texts
ACL 2024
A Multimodal Benchmark and Improved Architecture for Zero Shot Learning
WACV 2024
A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation
AAAI 2024
A Multi-Task Embedder For Retrieval Augmented LLMs
ACL 2024
A Multitask Training Approach to Enhance Whisper with Open-Vocabulary Keyword Spotting
Interspeech 2024
A Mutual Information Perspective on Federated Contrastive Learning
ICLR 2024
An Adaptive Implicit Hitting Set Algorithm for MAP and MPE Inference
PGM 2024
An Aggregation-Free Federated Learning for Tackling Data Heterogeneity
CVPR 2024
ANAH: Analytical Annotation of Hallucinations in Large Language Models
ACL 2024
ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models
NeurIPS 2024
Analysing zero-shot temporal relation extraction on clinical notes using temporal consistency
ACL 2024
Analysis of Multi-Source Language Training in Cross-Lingual Transfer
ACL 2024
Analysis of Transformers for Medical Image Retrieval
MIDL 2024
Analysis of Using Sigmoid Loss for Contrastive Learning
AISTATS 2024
Analysis on Unsupervised Acquisition Process of Bilingual Vocabulary through Iterative Back-Translation
COLING 2024
Analytically Tractable Models for Decision Making under Present Bias
AAAI 2024
Analyze, Generate and Refine: Query Expansion with LLMs for Zero-Shot Open-Domain QA
ACL 2024
Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions
AISTATS 2024
Analyzing Key Factors Influencing Emotion Prediction Performance of VLLMs in Conversational Contexts
EMNLP 2024
Analyzing LLM Behavior in Dialogue Summarization: Unveiling Circumstantial Hallucination Trends
ACL 2024
Analyzing & Reducing the Need for Learning Rate Warmup in GPT Training
NeurIPS 2024