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)
Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection
AAAI 2023
Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework
ACL 2023
BridgeTower: Building Bridges between Encoders in Vision-Language Representation Learning
AAAI 2023
Bridging Search Region Interaction With Template for RGB-T Tracking
CVPR 2023
Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models
ACL 2023
Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification
CVPR 2023
Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine Translation
EMNLP 2023
Bridging the Granularity Gap for Acoustic Modeling
ACL 2023
Bringing Inputs to Shared Domains for 3D Interacting Hands Recovery in the Wild
CVPR 2023
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs
NeurIPS 2023
BUCA: A Binary Classification Approach to Unsupervised Commonsense Question Answering
ACL 2023
Building3D: A Urban-Scale Dataset and Benchmarks for Learning Roof Structures from Point Clouds
ICCV 2023
Building Persona Consistent Dialogue Agents with Offline Reinforcement Learning
EMNLP 2023
BUT Systems for IWSLT 2023 Marathi - Hindi Low Resource Speech Translation Task
ACL 2023
ByGPT5: End-to-End Style-conditioned Poetry Generation with Token-free Language Models
ACL 2023
BYOC: Personalized Few-Shot Classification with Co-Authored Class Descriptions
EMNLP 2023
Byte-Level Grammatical Error Correction Using Synthetic and Curated Corpora
ACL 2023
Byte Pair Encoding for Symbolic Music
EMNLP 2023
C²A-SLU: Cross and Contrastive Attention for Improving ASR Robustness in Spoken Language Understanding
Interspeech 2023
Cache me if you Can: an Online Cost-aware Teacher-Student framework to Reduce the Calls to Large Language Models
EMNLP 2023
Calibrated Seq2seq Models for Efficient and Generalizable Ultra-fine Entity Typing
EMNLP 2023
Calibrating Multimodal Learning
ICML 2023
Calibrating Sequence likelihood Improves Conditional Language Generation
ICLR 2023
CALIP: Zero-Shot Enhancement of CLIP with Parameter-Free Attention
AAAI 2023
Calvados at MEDIQA-Chat 2023: Improving Clinical Note Generation with Multi-Task Instruction Finetuning
ACL 2023