Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
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'25
Papers (including subtopics)
Fewer is More: Boosting Math Reasoning with Reinforced Context Pruning
EMNLP 2024
Fewer Steps, Better Performance: Efficient Cross-Modal Clip Trimming for Video Moment Retrieval Using Language
AAAI 2024
Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings
ICML 2024
Few-Shot Adversarial Prompt Learning on Vision-Language Models
NeurIPS 2024
Few-Shot Diffusion Models Escape the Curse of Dimensionality
NeurIPS 2024
Few-Shot Generative Model for Skeleton-Based Human Action Synthesis Using Cross-Domain Adversarial Learning
WACV 2024
Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI
AAAI 2024
Few-Shot Neural Radiance Fields under Unconstrained Illumination
AAAI 2024
Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model
EMNLP 2024
Few-shot Question Generation for Reading Comprehension
ACL 2024
Few-Shot Shape Recognition by Learning Deep Shape-Aware Features
WACV 2024
Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries
ICML 2024
FFF: Fixing Flawed Foundations in Contrastive Pre-Training Results in Very Strong Vision-Language Models
CVPR 2024
FG-Net: Facial Action Unit Detection With Generalizable Pyramidal Features
WACV 2024
Fight Back Against Jailbreaking via Prompt Adversarial Tuning
NeurIPS 2024
Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation
EMNLP 2024
Filtered Direct Preference Optimization
EMNLP 2024
FilterNet: Harnessing Frequency Filters for Time Series Forecasting
NeurIPS 2024
Financial Forecasting from Textual and Tabular Time Series
EMNLP 2024
Finding and Editing Multi-Modal Neurons in Pre-Trained Transformers
ACL 2024
Finding the Optimal Byte-Pair Encoding Merge Operations for Neural Machine Translation in a Low-Resource Setting
EMNLP 2024
Find the Lady: Permutation and Re-synchronization of Deep Neural Networks
AAAI 2024
FinDVer: Explainable Claim Verification over Long and Hybrid-content Financial Documents
EMNLP 2024
FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding
NeurIPS 2024
FineCops-Ref: A new Dataset and Task for Fine-Grained Compositional Referring Expression Comprehension
EMNLP 2024