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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)

Latin Treebanks in Review: An Evaluation of Morphological Tagging Across Time ACL 2024 LA-UCL: LLM-Augmented Unsupervised Contrastive Learning Framework for Few-Shot Text Classification COLING 2024 LaViP: Language-Grounded Visual Prompting AAAI 2024 LAVSS: Location-Guided Audio-Visual Spatial Audio Separation WACV 2024 Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation AAAI 2024 Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models EMNLP 2024 Layer Compression of Deep Networks with Straight Flows AAAI 2024 Layer-Wise Auto-Weighting for Non-Stationary Test-Time Adaptation WACV 2024 LC4EE: LLMs as Good Corrector for Event Extraction ACL 2024 LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation ACL 2024 LDMVFI: Video Frame Interpolation with Latent Diffusion Models AAAI 2024 LDReg: Local Dimensionality Regularized Self-Supervised Learning ICLR 2024 LEAD: Exploring Logit Space Evolution for Model Selection CVPR 2024 LEAD: Learning Decomposition for Source-free Universal Domain Adaptation CVPR 2024 Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning EMNLP 2024 Learn How to See: Collaborative Embodied Learning for Object Detection and Camera Adjusting AAAI 2024 Learning 1D Causal Visual Representation with De-focus Attention Networks NeurIPS 2024 Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation AAAI 2024 Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network ICLR 2024 Learning Adaptive Spatial Coherent Correlations for Speech-Preserving Facial Expression Manipulation CVPR 2024 Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training NeurIPS 2024 Learning Better Representations From Less Data For Propositional Satisfiability NeurIPS 2024 Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning CVPR 2024 Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization WACV 2024 Learning Content-Enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation AAAI 2024