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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)

Alternative Approaches to Neural Network Based Speaker Verification Interspeech 2017 A Mention-Ranking Model for Abstract Anaphora Resolution EMNLP 2017 A multi-agent reinforcement learning model of common-pool resource appropriation NeurIPS 2017 A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis EMNLP 2017 Analyzing Hidden Representations in End-to-End Automatic Speech Recognition Systems NeurIPS 2017 AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching CVPR 2017 An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation ACL 2017 An empirical study on the effectiveness of images in Multimodal Neural Machine Translation EMNLP 2017 A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse IJCNLP 2017 A Neural Local Coherence Model ACL 2017 An HMM/DNN Comparison for Synchronized Text-to-Speech and Tongue Motion Synthesis Interspeech 2017 A-NICE-MC: Adversarial Training for MCMC NeurIPS 2017 An inner-loop free solution to inverse problems using deep neural networks NeurIPS 2017 A Novel Cascade Model for Learning Latent Similarity from Heterogeneous Sequential Data of MOOC EMNLP 2017 A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data ACL 2017 Are Emojis Predictable? EACL 2017 A Relevance Score Estimation for Spoken Term Detection Based on RNN-Generated Pronunciation Embeddings Interspeech 2017 Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension CVPR 2017 A Sensitivity Analysis of (and Practitioners’ Guide to) Convolutional Neural Networks for Sentence Classification IJCNLP 2017 A Simple Language Model based on PMI Matrix Approximations EMNLP 2017 A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings EMNLP 2017 A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction EMNLP 2017 A Speaker Adaptive DNN Training Approach for Speaker-Independent Acoustic Inversion Interspeech 2017 A Strong Baseline for Learning Cross-Lingual Word Embeddings from Sentence Alignments EACL 2017 A Study of Style in Machine Translation: Controlling the Formality of Machine Translation Output EMNLP 2017