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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)

De-Rendering 3D Objects in the Wild CVPR 2022 DESED: Dialogue-based Explanation for Sentence-level Event Detection COLING 2022 DeSKO: Stability-Assured Robust Control with a Deep Stochastic Koopman Operator ICLR 2022 DESTR: Object Detection With Split Transformer CVPR 2022 Detailed Facial Geometry Recovery from Multi-View Images by Learning an Implicit Function AAAI 2022 Detail-Preserving Transformer for Light Field Image Super-resolution AAAI 2022 DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection NeurIPS 2022 Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them ICML 2022 Detecting Deepfakes With Self-Blended Images CVPR 2022 Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0 Interspeech 2022 Detecting Euphemisms with Literal Descriptions and Visual Imagery EMNLP 2022 Detecting Label Errors by Using Pre-Trained Language Models EMNLP 2022 Detecting Relevant Differences Between Similar Legal Texts EMNLP 2022 Detecting the Role of an Entity in Harmful Memes: Techniques and their Limitations ACL 2022 Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation ACL 2022 Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5 EMNLP 2022 Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency AAAI 2022 DeToxy: A Large-Scale Multimodal Dataset for Toxicity Classification in Spoken Utterances Interspeech 2022 Developing Prefix-Tuning Models for Hierarchical Text Classification EMNLP 2022 DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception WACV 2022 Dial2vec: Self-Guided Contrastive Learning of Unsupervised Dialogue Embeddings EMNLP 2022 DialAug: Mixing up Dialogue Contexts in Contrastive Learning for Robust Conversational Modeling COLING 2022 DialDoc 2022 Shared Task: Open-Book Document-grounded Dialogue Modeling ACL 2022 Dialect & Sentiment Identification in Nuanced Arabic Tweets Using an Ensemble of Prompt-based, Fine-tuned, and Multitask BERT-Based Models EMNLP 2022 Dict-BERT: Enhancing Language Model Pre-training with Dictionary ACL 2022