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)
Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs
EMNLP 2024
TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation
CVPR 2024
Token-wise Influential Training Data Retrieval for Large Language Models
ACL 2024
ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images
CVPR 2024
Toolken+: Improving LLM Tool Usage with Reranking and a Reject Option
EMNLP 2024
ToolPlanner: A Tool Augmented LLM for Multi Granularity Instructions with Path Planning and Feedback
EMNLP 2024
Tools Identification By On-Board Adaptation of Vision-and-Language Models
AAAI 2024
Topic Modeling: Contextual Token Embeddings Are All You Need
EMNLP 2024
TopoFR: A Closer Look at Topology Alignment on Face Recognition
NeurIPS 2024
Topological Expressivity of ReLU Neural Networks
COLT 2024
Topological Neural Networks go Persistent, Equivariant, and Continuous
ICML 2024
TOP-ReID: Multi-Spectral Object Re-identification with Token Permutation
AAAI 2024
To Preserve or To Compress: An In-Depth Study of Connector Selection in Multimodal Large Language Models
EMNLP 2024
TorchRL: A data-driven decision-making library for PyTorch
ICLR 2024
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
NeurIPS 2024
TOREE: Evaluating Topic Relevance of Student Essays for Chinese Primary and Middle School Education
ACL 2024
To smooth a cloud or to pin it down: Expressiveness guarantees and insights on score matching in denoising diffusion models
UAI 2024
Toward a Well-Calibrated Discrimination via Survival Outcome-Aware Contrastive Learning
NeurIPS 2024
Toward Data Efficient Model Merging between Different Datasets without Performance Degradation
ACML 2024
Toward More Generalized Malicious URL Detection Models
AAAI 2024
Toward Open-Set Human Object Interaction Detection
AAAI 2024
Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learning
ECCV 2024
Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning
NeurIPS 2024
Towards 3D Vision with Low-Cost Single-Photon Cameras
CVPR 2024
Towards a new Benchmark for Emotion Detection in NLP: A Unifying Framework of Recent Corpora
EMNLP 2024