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)
BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity
NeurIPS 2024
BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning
ACL 2024
BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models
EMNLP 2024
BirdCollect: A Comprehensive Benchmark for Analyzing Dense Bird Flock Attributes
AAAI 2024
Birdie: Advancing State Space Language Modeling with Dynamic Mixtures of Training Objectives
EMNLP 2024
BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping
WACV 2024
bit2bit: 1-bit quanta video reconstruction via self-supervised photon prediction
NeurIPS 2024
BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation
ACL 2024
BiTT: Bi-directional Texture Reconstruction of Interacting Two Hands from a Single Image
CVPR 2024
BIT@UA at #SMM4H 2024 Tasks 1 and 5: finding adverse drug events and children’s medical disorders in English tweets
ACL 2024
Bi-ViT: Pushing the Limit of Vision Transformer Quantization
AAAI 2024
Black-Box Forgetting
NeurIPS 2024
BLADE: Benchmarking Language Model Agents for Data-Driven Science
EMNLP 2024
BLASER 2.0: a metric for evaluation and quality estimation of massively multilingual speech and text translation
EMNLP 2024
Blind Image Restoration via Fast Diffusion Inversion
NeurIPS 2024
BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions
AAAI 2024
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
NeurIPS 2024
BLSP-Emo: Towards Empathetic Large Speech-Language Models
EMNLP 2024
Blur2Blur: Blur Conversion for Unsupervised Image Deblurring on Unknown Domains
CVPR 2024
Blur-aware Spatio-temporal Sparse Transformer for Video Deblurring
CVPR 2024
BLURD: Benchmarking and Learning using a Unified Rendering and Diffusion Model
NeurIPS 2024
BMX: Boosting Natural Language Generation Metrics with Explainability
EACL 2024
BodyMAP - Jointly Predicting Body Mesh and 3D Applied Pressure Map for People in Bed
CVPR 2024
Book2Dial: Generating Teacher Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots
ACL 2024
BookWorm: A Dataset for Character Description and Analysis
EMNLP 2024