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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)

Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking ACL 2024 Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity Training CVPR 2024 Transferable Video Moment Localization by Moment-Guided Query Prompting AAAI 2024 Transfer CLIP for Generalizable Image Denoising CVPR 2024 Transfer Learning for Text Classification via Model Risk Analysis EMNLP 2024 Transformer as Linear Expansion of Learngene AAAI 2024 Transformer-Based No-Reference Image Quality Assessment via Supervised Contrastive Learning AAAI 2024 Transformer Doctor: Diagnosing and Treating Vision Transformers NeurIPS 2024 Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining ICLR 2024 Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner NeurIPS 2024 TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression AISTATS 2024 TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models ACL 2024 Transparent and Scrutable Recommendations Using Natural Language User Profiles ACL 2024 TransVIP: Speech to Speech Translation System with Voice and Isochrony Preservation NeurIPS 2024 Trap-MID: Trapdoor-based Defense against Model Inversion Attacks NeurIPS 2024 Trash to Treasure: Low-Light Object Detection via Decomposition-and-Aggregation AAAI 2024 Tree of Attacks: Jailbreaking Black-Box LLMs Automatically NeurIPS 2024 Tree of Problems: Improving structured problem solving with compositionality EMNLP 2024 Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs ACL 2024 Tree-Planted Transformers: Unidirectional Transformer Language Models with Implicit Syntactic Supervision ACL 2024 TreeSBA: Tree-Transformer for Self-Supervised Sequential Brick Assembly ECCV 2024 Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents ACL 2024 TriCoLo: Trimodal Contrastive Loss for Text To Shape Retrieval WACV 2024 Triple-Encoders: Representations That Fire Together, Wire Together ACL 2024 Triple Feature Disentanglement for One-Stage Adaptive Object Detection AAAI 2024