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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 Lives of Indebted Farmers Using Deep Learning: Predicting Agricultural Produce Prices Using Convolutional Neural Networks AAAI 2020 Improving Low Resource Code-Switched ASR Using Augmented Code-Switched TTS Interspeech 2020 Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation ACL 2020 Improving model calibration with accuracy versus uncertainty optimization NeurIPS 2020 Improving Multilingual Models with Language-Clustered Vocabularies EMNLP 2020 Improving Multimodal Named Entity Recognition via Entity Span Detection with Unified Multimodal Transformer ACL 2020 Improving Neural Machine Translation with Soft Template Prediction ACL 2020 Improving NMT via Filtered Back Translation AACL 2020 Improving Non-autoregressive Neural Machine Translation with Monolingual Data ACL 2020 Improving Parallel Data Identification using Iteratively Refined Sentence Alignments and Bilingual Mappings of Pre-trained Language Models EMNLP 2020 Improving Question Generation with Sentence-Level Semantic Matching and Answer Position Inferring AAAI 2020 Improving robustness against common corruptions by covariate shift adaptation NeurIPS 2020 Improving Tandem Mass Spectra Analysis with Hierarchical Learning IJCAI 2020 Improving Text Generation with Student-Forcing Optimal Transport EMNLP 2020 Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening MIDL 2020 Improving the Gating Mechanism of Recurrent Neural Networks ICML 2020 Improving the Robustness of Capsule Networks to Image Affine Transformations CVPR 2020 Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning AAAI 2020 Improving the Speaker Identity of Non-Parallel Many-to-Many Voice Conversion with Adversarial Speaker Recognition Interspeech 2020 Improving Transformer-Based Speech Recognition with Unsupervised Pre-Training and Multi-Task Semantic Knowledge Learning Interspeech 2020 Improving Transformer Models by Reordering their Sublayers ACL 2020 IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval CVPR 2020 ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes CVPR 2020 Incomplete Utterance Rewriting as Semantic Segmentation EMNLP 2020 Incorporating a Local Translation Mechanism into Non-autoregressive Translation EMNLP 2020