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)
BJTU-WeChat’s Systems for the WMT22 Chat Translation Task
EMNLP 2022
Blackbox Attacks via Surrogate Ensemble Search
NeurIPS 2022
Blended Diffusion for Text-Driven Editing of Natural Images
CVPR 2022
Blind2Unblind: Self-Supervised Image Denoising With Visible Blind Spots
CVPR 2022
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs
AAAI 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
ICML 2022
Blocking Influence at Collective Level with Hard Constraints (Student Abstract)
AAAI 2022
Block-NeRF: Scalable Large Scene Neural View Synthesis
CVPR 2022
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning
ICML 2022
Bloom Library: Multimodal Datasets in 300+ Languages for a Variety of Downstream Tasks
EMNLP 2022
BMCook: A Task-agnostic Compression Toolkit for Big Models
EMNLP 2022
BM-NAS: Bilevel Multimodal Neural Architecture Search
AAAI 2022
BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling
NeurIPS 2022
BNUDC: A Two-Branched Deep Neural Network for Restoring Images From Under-Display Cameras
CVPR 2022
Boosted Curriculum Reinforcement Learning
ICLR 2022
Boosted Dense Retriever
NAACL 2022
Boosting Active Learning via Improving Test Performance
AAAI 2022
Boosting Contrastive Learning with Relation Knowledge Distillation
AAAI 2022
Boosting Crowd Counting via Multifaceted Attention
CVPR 2022
Boosting Natural Language Generation from Instructions with Meta-Learning
EMNLP 2022
Boosting Out-of-distribution Detection with Typical Features
NeurIPS 2022
Boosting the Performance of Generic Deep Neural Network Frameworks with Log-supermodular CRFs
NeurIPS 2022
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation
NeurIPS 2022
Boosting the Transferability of Video Adversarial Examples via Temporal Translation
AAAI 2022
Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning
AAAI 2022