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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)

Hybrid Deep Learning Model for Fake News Detection in Social Networks (Student Abstract) AAAI 2022 Hybrid Handcrafted and Learnable Audio Representation for Analysis of Speech Under Cognitive and Physical Load Interspeech 2022 Hyperbolic Disentangled Representation for Fine-Grained Aspect Extraction AAAI 2022 Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds NeurIPS 2022 HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks NeurIPS 2022 Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning CVPR 2022 Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question Answering ACL 2022 Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights NeurIPS 2022 HyperSegNAS: Bridging One-Shot Neural Architecture Search With 3D Medical Image Segmentation Using HyperNet CVPR 2022 HyperStyle: StyleGAN Inversion With HyperNetworks for Real Image Editing CVPR 2022 HyperTree Proof Search for Neural Theorem Proving NeurIPS 2022 Hyper-X: A Unified Hypernetwork for Multi-Task Multilingual Transfer EMNLP 2022 I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification NeurIPS 2022 iCompass Working Notes for the Nuanced Arabic Dialect Identification Shared task EMNLP 2022 IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment CVPR 2022 iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection AAAI 2022 Identifiability of deep generative models without auxiliary information NeurIPS 2022 Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models ACL 2022 Id-Free Person Similarity Learning CVPR 2022 IDIAPers @ Causal News Corpus 2022: Efficient Causal Relation Identification Through a Prompt-based Few-shot Approach EMNLP 2022 IDIAPers @ Causal News Corpus 2022: Extracting Cause-Effect-Signal Triplets via Pre-trained Autoregressive Language Model EMNLP 2022 IDIAP Submission@LT-EDI-ACL2022 : Hope Speech Detection for Equality, Diversity and Inclusion ACL 2022 IDR: Self-Supervised Image Denoising via Iterative Data Refinement CVPR 2022 If Influence Functions are the Answer, Then What is the Question? NeurIPS 2022 iFS-RCNN: An Incremental Few-Shot Instance Segmenter CVPR 2022