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)
Can Machines Resonate with Humans? Evaluating the Emotional and Empathic Comprehension of LMs
EMNLP 2024
Can Machine Unlearning Reduce Social Bias in Language Models?
EMNLP 2024
Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion?
CVPR 2024
Can Simple Averaging Defeat Modern Watermarks?
NeurIPS 2024
Can Textual Unlearning Solve Cross-Modality Safety Alignment?
EMNLP 2024
Can Transformers Smell Like Humans?
NeurIPS 2024
CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues
EMNLP 2024
Can We Achieve High-quality Direct Speech-to-Speech Translation without Parallel Speech Data?
ACL 2024
Can we teach language models to gloss endangered languages?
EMNLP 2024
CapHuman: Capture Your Moments in Parallel Universes
CVPR 2024
CapsFusion: Rethinking Image-Text Data at Scale
CVPR 2024
Capturing Minds, Not Just Words: Enhancing Role-Playing Language Models with Personality-Indicative Data
EMNLP 2024
CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition
AAAI 2024
Carbon Footprint Reduction for Sustainable Data Centers in Real-Time
AAAI 2024
CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting
ICLR 2024
CARER - ClinicAl Reasoning-Enhanced Representation for Temporal Health Risk Prediction
EMNLP 2024
CariesXrays: Enhancing Caries Detection in Hospital-Scale Panoramic Dental X-rays via Feature Pyramid Contrastive Learning
AAAI 2024
CASE: Exploiting Intra-class Compactness and Inter-class Separability of Feature Embeddings for Out-of-Distribution Detection
AAAI 2024
CA-SSLR: Condition-Aware Self-Supervised Learning Representation for Generalized Speech Processing
NeurIPS 2024
Catapults in SGD: spikes in the training loss and their impact on generalization through feature learning
ICML 2024
Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification
NeurIPS 2024
Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN
AAAI 2024
CAT: Exploiting Inter-Class Dynamics for Domain Adaptive Object Detection
CVPR 2024
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation
CVPR 2024
CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables
ICML 2024