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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)

Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis WACV 2022 Adversarial Parametric Pose Prior CVPR 2022 Adversarial Perturbations Augmented Language Models for Euphemism Identification EMNLP 2022 Adversarial Robustness in Multi-Task Learning: Promises and Illusions AAAI 2022 Adversarial Robustness is at Odds with Lazy Training NeurIPS 2022 Adversarial Soft Prompt Tuning for Cross-Domain Sentiment Analysis ACL 2022 Adversarial Task Up-sampling for Meta-learning NeurIPS 2022 Adversarial Text-to-Speech for low-resource languages EMNLP 2022 Adversarial Texture for Fooling Person Detectors in the Physical World CVPR 2022 Adversarial training for high-stakes reliability NeurIPS 2022 Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation AAAI 2022 Adversarial Unlearning: Reducing Confidence Along Adversarial Directions NeurIPS 2022 AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds AAAI 2022 A Few-Shot Semantic Parser for Wizard-of-Oz Dialogues with the Precise ThingTalk Representation ACL 2022 A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation NAACL 2022 A Framework for Adapting Pre-Trained Language Models to Knowledge Graph Completion EMNLP 2022 A Framework for Learning Ante-Hoc Explainable Models via Concepts CVPR 2022 AFRNN: Stable RNN with Top Down Feedback and Antisymmetry ACML 2022 AfroLID: A Neural Language Identification Tool for African Languages EMNLP 2022 A Fusion-Denoising Attack on InstaHide with Data Augmentation AAAI 2022 A Generative User Simulator with GPT-based Architecture and Goal State Tracking for Reinforced Multi-Domain Dialog Systems EMNLP 2022 A Gentle Introduction to Deep Nets and Opportunities for the Future ACL 2022 Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift NeurIPS 2022 A Hybrid Approach to Cross-lingual Product Review Summarization EMNLP 2022 A Hybrid Egocentric Activity Anticipation Framework via Memory-Augmented Recurrent and One-Shot Representation Forecasting CVPR 2022