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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
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'15
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'25

Papers (including subtopics)

Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition ACL 2021 Locate Then Segment: A Strong Pipeline for Referring Image Segmentation CVPR 2021 Logic Guided Genetic Algorithms (Student Abstract) AAAI 2021 Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification EMNLP 2021 LogME: Practical Assessment of Pre-trained Models for Transfer Learning ICML 2021 LOHO: Latent Optimization of Hairstyles via Orthogonalization CVPR 2021 Long Document Summarization in a Low Resource Setting using Pretrained Language Models ACL 2021 Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy EMNLP 2021 Long Short View Feature Decomposition via Contrastive Video Representation Learning ICCV 2021 Long-Tailed Multi-Label Visual Recognition by Collaborative Training on Uniform and Re-Balanced Samplings CVPR 2021 Long-tail learning via logit adjustment ICLR 2021 Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence ACL 2021 Look at What I’m Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos NeurIPS 2021 Look Before You Speak: Visually Contextualized Utterances CVPR 2021 Look Closer To Segment Better: Boundary Patch Refinement for Instance Segmentation CVPR 2021 Looking for Confirmations: An Effective and Human-Like Visual Dialogue Strategy EMNLP 2021 Looking Into Your Speech: Learning Cross-Modal Affinity for Audio-Visual Speech Separation CVPR 2021 Looking Wider for Better Adaptive Representation in Few-Shot Learning AAAI 2021 Look Who’s Talking: Active Speaker Detection in the Wild Interspeech 2021 LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning ICCV 2021 Low Curvature Activations Reduce Overfitting in Adversarial Training ICCV 2021 Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries ICML 2021 Low Resource ASR: The Surprising Effectiveness of High Resource Transliteration Interspeech 2021 Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining EMNLP 2021 Low Resource German ASR with Untranscribed Data Spoken by Non-Native Children — INTERSPEECH 2021 Shared Task SPAPL System Interspeech 2021