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Learning Types

32,670 papers (1 classified directly here)

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)
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Papers (including subtopics)

Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis AAAI 2020 CrossNet: Latent Cross-Consistency for Unpaired Image Translation WACV 2020 Cross-Spectral Face Hallucination via Disentangling Independent Factors CVPR 2020 Cross-Thought for Sentence Encoder Pre-training EMNLP 2020 CSECU-DSG at WNUT-2020 Task 2: Exploiting Ensemble of Transfer Learning and Hand-crafted Features for Identification of Informative COVID-19 English Tweets EMNLP 2020 CSI: A Coarse Sense Inventory for 85% Word Sense Disambiguation AAAI 2020 CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances NeurIPS 2020 CUNI Submission for the Inuktitut Language in WMT News 2020 EMNLP 2020 CUNI Systems for the Unsupervised and Very Low Resource Translation Task in WMT20 EMNLP 2020 CURL: Contrastive Unsupervised Representations for Reinforcement Learning ICML 2020 CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition CVPR 2020 Curriculum Learning by Dynamic Instance Hardness NeurIPS 2020 Curriculum Learning for Natural Language Understanding ACL 2020 Curriculum Loss: Robust Learning and Generalization against Label Corruption ICLR 2020 Curriculum Pre-training for End-to-End Speech Translation ACL 2020 CXP949 at WNUT-2020 Task 2: Extracting Informative COVID-19 Tweets - RoBERTa Ensembles and The Continued Relevance of Handcrafted Features EMNLP 2020 D2Det: Towards High Quality Object Detection and Instance Segmentation CVPR 2020 D3D: Distilled 3D Networks for Video Action Recognition WACV 2020 D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features CVPR 2020 D3S - A Discriminative Single Shot Segmentation Tracker CVPR 2020 D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry CVPR 2020 Dartmouth CS at WNUT-2020 Task 2: Informative COVID-19 Tweet Classification Using BERT EMNLP 2020 DASOT: A Unified Framework Integrating Data Association and Single Object Tracking for Online Multi-Object Tracking AAAI 2020 Data Augmentation for Training Dialog Models Robust to Speech Recognition Errors ACL 2020 Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation EMNLP 2020