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)
RoQLlama: A Lightweight Romanian Adapted Language Model
EMNLP 2024
Rotation-Agnostic Image Representation Learning for Digital Pathology
CVPR 2024
RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models
NeurIPS 2024
RPSC: Robust Pseudo-Labeling for Semantic Clustering
AAAI 2024
RRADistill: Distilling LLMs’ Passage Ranking Ability for Long-Tail Queries Document Re-Ranking on a Search Engine
EMNLP 2024
RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation Framework
EMNLP 2024
RTMO: Towards High-Performance One-Stage Real-Time Multi-Person Pose Estimation
CVPR 2024
Rule Extrapolation in Language Modeling: A Study of Compositional Generalization on OOD Prompts
NeurIPS 2024
RWKV-CLIP: A Robust Vision-Language Representation Learner
EMNLP 2024
S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity
NeurIPS 2024
S2WAT: Image Style Transfer via Hierarchical Vision Transformer Using Strips Window Attention
AAAI 2024
S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment
AAAI 2024
SA²VP: Spatially Aligned-and-Adapted Visual Prompt
AAAI 2024
SAFDNet: A Simple and Effective Network for Fully Sparse 3D Object Detection
CVPR 2024
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding
ACL 2024
Safe-Embed: Unveiling the Safety-Critical Knowledge of Sentence Encoders
ACL 2024
Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language Models
NeurIPS 2024
Safely Learning with Private Data: A Federated Learning Framework for Large Language Model
EMNLP 2024
SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset
NeurIPS 2024
SAI3D: Segment Any Instance in 3D Scenes
CVPR 2024
Sailor: Open Language Models for South-East Asia
EMNLP 2024
Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization
EMNLP 2024
SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation
ICML 2024
Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading
NeurIPS 2024
SAME: Sample Reconstruction against Model Extraction Attacks
AAAI 2024