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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)

Improving Generative Adversarial Networks via Adversarial Learning in Latent Space NeurIPS 2022 Improving Human-Object Interaction Detection via Phrase Learning and Label Composition AAAI 2022 Improving information fusion on multimodal clinical data in classification settings EMNLP 2022 Improving Iterative Text Revision by Learning Where to Edit from Other Revision Tasks EMNLP 2022 Improving Large-Scale Conversational Assistants using Model Interpretation based Training Sample Selection EMNLP 2022 Improving Large-scale Paraphrase Acquisition and Generation EMNLP 2022 Improving Machine Translation Formality Control with Weakly-Labelled Data Augmentation and Post Editing Strategies ACL 2022 Improving Multi-task Stance Detection with Multi-task Interaction Network EMNLP 2022 Improving Neural Cross-Lingual Abstractive Summarization via Employing Optimal Transport Distance for Knowledge Distillation AAAI 2022 Improving Neural Implicit Surfaces Geometry With Patch Warping CVPR 2022 Improving Non-Autoregressive Translation Models Without Distillation ICLR 2022 Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors NeurIPS 2022 Improving Policy Learning via Language Dynamics Distillation NeurIPS 2022 Improving Precancerous Case Characterization via Transformer-based Ensemble Learning EMNLP 2022 Improving Relation Extraction through Syntax-induced Pre-training with Dependency Masking ACL 2022 Improving Scene Graph Classification by Exploiting Knowledge from Texts AAAI 2022 Improving Scheduled Sampling with Elastic Weight Consolidation for Neural Machine Translation EMNLP 2022 Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusion EMNLP 2022 Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning WACV 2022 Improving Text Simplification with Factuality Error Detection EMNLP 2022 Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding EMNLP 2022 Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires ACL 2022 Improving Transferability of Adversarial Examples with Virtual Step and Auxiliary Gradients IJCAI 2022 Improving Video Model Transfer With Dynamic Representation Learning CVPR 2022 Improving Visual Speech Enhancement Network by Learning Audio-visual Affinity with Multi-head Attention Interspeech 2022