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
'15
'20
'25
Papers (including subtopics)
Generative Powers of Ten
CVPR 2024
Generative Retrieval Meets Multi-Graded Relevance
NeurIPS 2024
Generative Subgraph Retrieval for Knowledge Graph–Grounded Dialog Generation
EMNLP 2024
Geneverse: A Collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research
EMNLP 2024
GENRA: Enhancing Zero-shot Retrieval with Rank Aggregation
EMNLP 2024
Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal
CVPR 2024
GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping
NeurIPS 2024
Geometric-Averaged Preference Optimization for Soft Preference Labels
NeurIPS 2024
Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs
ICLR 2024
Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning
NeurIPS 2024
Getting The Most Out of Your Training Data: Exploring Unsupervised Tasks for Morphological Inflection
EMNLP 2024
G-FARS: Gradient-Field-based Auto-Regressive Sampling for 3D Part Grouping
CVPR 2024
GLaMM: Pixel Grounding Large Multimodal Model
CVPR 2024
GLBench: A Comprehensive Benchmark for Graph with Large Language Models
NeurIPS 2024
GLID: Pre-training a Generalist Encoder-Decoder Vision Model
CVPR 2024
GlitchBench: Can Large Multimodal Models Detect Video Game Glitches?
CVPR 2024
GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time
AAAI 2024
Gloss2Text: Sign Language Gloss translation using LLMs and Semantically Aware Label Smoothing
EMNLP 2024
GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval
AAAI 2024
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting
AAAI 2024
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network
ACL 2024
Goal Conditioned Reinforcement Learning for Photo Finishing Tuning
NeurIPS 2024
GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D Feature Learning
ECCV 2024
GOME: Grounding-based Metaphor Binding With Conceptual Elaboration For Figurative Language Illustration
EMNLP 2024
GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation
CVPR 2024