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)
FinanceMATH: Knowledge-Intensive Math Reasoning in Finance Domains
ACL 2024
Financial Forecasting from Textual and Tabular Time Series
EMNLP 2024
Financial Product Ontology Population with Large Language Models
ACL 2024
Finding a Needle in the Adversarial Haystack: A Targeted Paraphrasing Approach For Uncovering Edge Cases with Minimal Distribution Distortion
EACL 2024
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search
IJCAI 2024
Finding Interpretable Class-Specific Patterns through Efficient Neural Search
AAAI 2024
Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning
CVPR 2024
Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models
NeurIPS 2024
Findings of the SIGTYP 2024 Shared Task on Word Embedding Evaluation for Ancient and Historical Languages
EACL 2024
Findings of WMT 2024 Shared Task on Low-Resource Indic Languages Translation
EMNLP 2024
Findings of WMT 2024’s MultiIndic22MT Shared Task for Machine Translation of 22 Indian Languages
EMNLP 2024
Finding the Optimal Byte-Pair Encoding Merge Operations for Neural Machine Translation in a Low-Resource Setting
EMNLP 2024
FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding
NeurIPS 2024
FineFMPL: Fine-grained Feature Mining Prompt Learning for Few-Shot Class Incremental Learning
IJCAI 2024
Fine-Grained Bipartite Concept Factorization for Clustering
CVPR 2024
Fine-grained Classes and How to Find Them
ICML 2024
Fine-grained Control of Generative Data Augmentation in IoT Sensing
NeurIPS 2024
Fine-Grained Detection of Solidarity for Women and Migrants in 155 Years of German Parliamentary Debates
EMNLP 2024
Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models
NeurIPS 2024
Fine-Grained Knowledge Selection and Restoration for Non-exemplar Class Incremental Learning
AAAI 2024
Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions
ACL 2024
Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models
EMNLP 2024
Fine-Grained Prediction of Reading Comprehension from Eye Movements
EMNLP 2024
Fine-Grained Prototypes Distillation for Few-Shot Object Detection
AAAI 2024
Fine-grained Prototypical Voting with Heterogeneous Mixup for Semi-supervised 2D-3D Cross-modal Retrieval
CVPR 2024