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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'20
'25
Papers (including subtopics)
Explore Spurious Correlations at the Concept Level in Language Models for Text Classification
ACL 2024
Exploring Adversarial Robustness of Deep State Space Models
NeurIPS 2024
Exploring Aspect-Based Sentiment Analysis Methodologies for Literary-Historical Research Purposes
COLING 2024
Exploring Base-Class Suppression with Prior Guidance for Bias-Free One-Shot Object Detection
AAAI 2024
Exploring Beyond Curiosity Rewards: Language-Driven Exploration in RL
ACML 2024
Exploring Causal Mechanisms for Machine Text Detection Methods
NAACL 2024
Exploring Chain-of-Thought for Multi-modal Metaphor Detection
ACL 2024
Exploring Compositional Generalization of Large Language Models
NAACL 2024
Exploring Correlations of Self-Supervised Tasks for Graphs
ICML 2024
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting
IJCAI 2024
Exploring Curriculum Learning for Vision-Language Tasks: A Study on Small-Scale Multimodal Training
CoNLL 2024
Exploring Diffusion Time-steps for Unsupervised Representation Learning
ICLR 2024
Exploring Diverse Representations for Open Set Recognition
AAAI 2024
Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark
AAAI 2024
Exploring Domain Robust Lightweight Reward Models based on Router Mechanism
ACL 2024
Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios
CVPR 2024
Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective
AAAI 2024
Exploring hybrid approaches to readability: experiments on the complementarity between linguistic features and transformers
EACL 2024
Exploring In-Context Learning of Textless Speech Language Model for Speech Classification Tasks
Interspeech 2024
Exploring Instructive Prompts for Large Language Models in the Extraction of Evidence for Supporting Assigned Suicidal Risk Levels
EACL 2024
Exploring Language Representation through a Resource Inventory Project
ACL 2024
Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models
IJCAI 2024
Exploring Memorization in Fine-tuned Language Models
ACL 2024
Exploring Nested Named Entity Recognition with Large Language Models: Methods, Challenges, and Insights
EMNLP 2024
Exploring Neural Topic Modeling on a Classical Latin Corpus
COLING 2024