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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)

CUE Vectors: Modular Training of Language Models Conditioned on Diverse Contextual Signals ACL 2022 Curriculum-guided Abstractive Summarization for Mental Health Online Posts EMNLP 2022 Curriculum Knowledge Distillation for Emoji-supervised Cross-lingual Sentiment Analysis EMNLP 2022 Curriculum learning as a tool to uncover learning principles in the brain ICLR 2022 Curriculum Learning Meets Weakly Supervised Multimodal Correlation Learning EMNLP 2022 Curriculum Prompt Learning with Self-Training for Abstractive Dialogue Summarization EMNLP 2022 CycleKQR: Unsupervised Bidirectional Keyword-Question Rewriting EMNLP 2022 CycleMix: A Holistic Strategy for Medical Image Segmentation From Scribble Supervision CVPR 2022 CyCLIP: Cyclic Contrastive Language-Image Pretraining NeurIPS 2022 D^2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video NeurIPS 2022 DABS 2.0: Improved Datasets and Algorithms for Universal Self-Supervision NeurIPS 2022 DaDA: Distortion-aware Domain Adaptation for Unsupervised Semantic Segmentation NeurIPS 2022 Daft-Exprt: Cross-Speaker Prosody Transfer on Any Text for Expressive Speech Synthesis Interspeech 2022 DaLC: Domain Adaptation Learning Curve Prediction for Neural Machine Translation ACL 2022 DALLE-2 is Seeing Double: Flaws in Word-to-Concept Mapping in Text2Image Models EMNLP 2022 Dancing Under the Stars: Video Denoising in Starlight CVPR 2022 DARE: Disentanglement-Augmented Rationale Extraction NeurIPS 2022 DARER: Dual-task Temporal Relational Recurrent Reasoning Network for Joint Dialog Sentiment Classification and Act Recognition ACL 2022 Darkness can not drive out darkness: Investigating Bias in Hate SpeechDetection Models ACL 2022 DarkVisionNet: Low-Light Imaging via RGB-NIR Fusion with Deep Inconsistency Prior AAAI 2022 DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning NeurIPS 2022 DASO: Distribution-Aware Semantics-Oriented Pseudo-Label for Imbalanced Semi-Supervised Learning CVPR 2022 Data Augmentation and Learned Layer Aggregation for Improved Multilingual Language Understanding in Dialogue ACL 2022 Data Augmentation as Feature Manipulation ICML 2022 Data Augmentation for Compositional Data: Advancing Predictive Models of the Microbiome NeurIPS 2022