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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)

Test-Time Training with Masked Autoencoders NeurIPS 2022 Text2Mesh: Text-Driven Neural Stylization for Meshes CVPR 2022 Text-Adaptive Multiple Visual Prototype Matching for Video-Text Retrieval NeurIPS 2022 TextBox 2.0: A Text Generation Library with Pre-trained Language Models EMNLP 2022 Text Editing as Imitation Game EMNLP 2022 TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion EMNLP 2022 TextHacker: Learning based Hybrid Local Search Algorithm for Text Hard-label Adversarial Attack EMNLP 2022 TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text AAAI 2022 Textless Speech-to-Speech Translation on Real Data NAACL 2022 Text-Only Training for Image Captioning using Noise-Injected CLIP EMNLP 2022 TextPruner: A Model Pruning Toolkit for Pre-Trained Language Models ACL 2022 Text Revision by On-the-Fly Representation Optimization ACL 2022 Text Revision By On-the-Fly Representation Optimization AAAI 2022 Text Style Transferring via Adversarial Masking and Styled Filling EMNLP 2022 Text-to-Image Synthesis Based on Object-Guided Joint-Decoding Transformer CVPR 2022 Text-to-Table: A New Way of Information Extraction ACL 2022 Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks EMNLP 2022 Textual Enhanced Contrastive Learning for Solving Math Word Problems EMNLP 2022 Textual Manifold-based Defense Against Natural Language Adversarial Examples EMNLP 2022 TF-IDF or Transformers for Arabic Dialect Identification? ITFLOWS participation in the NADI 2022 Shared Task EMNLP 2022 “That Is a Suspicious Reaction!”: Interpreting Logits Variation to Detect NLP Adversarial Attacks ACL 2022 That Slepen Al the Nyght with Open Ye! Cross-era Sequence Segmentation with Switch-memory ACL 2022 The ARC-NKUA Submission for the English-Ukrainian General Machine Translation Shared Task at WMT22 EMNLP 2022 The Close Relationship Between Contrastive Learning and Meta-Learning ICLR 2022 The Devil in Linear Transformer EMNLP 2022