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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

38
179
3,018
5,737
'10
'15
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'25

Papers (including subtopics)

LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents CVPR 2021 Large-Margin Contrastive Learning with Distance Polarization Regularizer ICML 2021 Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling AAAI 2021 Large Norms of CNN Layers Do Not Hurt Adversarial Robustness AAAI 2021 Large-Scale Self- and Semi-Supervised Learning for Speech Translation Interspeech 2021 Large-Scale Unsupervised Object Discovery NeurIPS 2021 LASR: Learning Articulated Shape Reconstruction From a Monocular Video CVPR 2021 LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-Resolution CVPR 2021 Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources EMNLP 2021 Layerwise Optimization by Gradient Decomposition for Continual Learning CVPR 2021 LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding ACL 2021 LayoutReader: Pre-training of Text and Layout for Reading Order Detection EMNLP 2021 Lazy Low-Resource Coreference Resolution: a Study on Leveraging Black-Box Translation Tools EMNLP 2021 LCollision: Fast Generation of Collision-Free Human Poses using Learned Non-Penetration Constraints AAAI 2021 Learnable Dynamic Temporal Pooling for Time Series Classification AAAI 2021 Learnable Graph Matching: Incorporating Graph Partitioning With Deep Feature Learning for Multiple Object Tracking CVPR 2021 Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning EMNLP 2021 LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification ACL 2021 Learned Initializations for Optimizing Coordinate-Based Neural Representations CVPR 2021 Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection NeurIPS 2021 Learning 3-opt heuristics for traveling salesman problem via deep reinforcement learning ACML 2021 Learning Accurate Dense Correspondences and When To Trust Them CVPR 2021 Learning a Facial Expression Embedding Disentangled From Identity CVPR 2021 Learning a Few-shot Embedding Model with Contrastive Learning AAAI 2021 Learning and Analyzing Generation Order for Undirected Sequence Models EMNLP 2021