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)
ESCP: Enhancing Emotion Recognition in Conversation with Speech and Contextual Prefixes
COLING 2024
ESG-FTSE: A Corpus of News Articles with ESG Relevance Labels and Use Cases
COLING 2024
ESG-GPT:GPT4-Based Few-Shot Prompt Learning for Multi-lingual ESG News Text Classification
COLING 2024
ESPnet-SPK: full pipeline speaker embedding toolkit with reproducible recipes, self-supervised front-ends, and off-the-shelf models
Interspeech 2024
Establishing degrees of closeness between audio recordings along different dimensions using large-scale cross-lingual models
EACL 2024
Estimating Agreement by Chance for Sequence Annotation
ACL 2024
Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning
IJCAI 2024
Estimating Bounds on Causal Effects Considering Unmeasured Common Causes
PGM 2024
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning
IJCAI 2024
Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression
NeurIPS 2024
Estimating Lexical Complexity from Document-Level Distributions
COLING 2024
Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning
CVPR 2024
Estimating the Hallucination Rate of Generative AI
NeurIPS 2024
Estimating treatment effects from single-arm trials via latent-variable modeling
AISTATS 2024
eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation
AAAI 2024
Eulerian at BioLaySumm: Preprocessing Over Abstract is All You Need
ACL 2024
EURECOM at SemEval-2024 Task 4: Hierarchical Loss and Model Ensembling in Detecting Persuasion Techniques
SemEval 2024
Evaluating alignment between humans and neural network representations in image-based learning tasks
NeurIPS 2024
Evaluating Automatic Metrics with Incremental Machine Translation Systems
EMNLP 2024
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets
EMNLP 2024
Evaluating Extrapolation Ability of Large Language Model in Chemical Domain
ACL 2024
Evaluating In-Context Learning for Computational Literary Studies: A Case Study Based on the Automatic Recognition of Knowledge Transfer in German Drama
EACL 2024
Evaluating Large Language Model Biases in Persona-Steered Generation
ACL 2024
Evaluating Large Language Models via Linguistic Profiling
EMNLP 2024
Evaluating LLMs for Targeted Concept Simplification for Domain-Specific Texts
EMNLP 2024