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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)

LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion CVPR 2024 LaMAR: Laplacian Pyramid for Multimodal Adaptive Super Resolution (Student Abstract) AAAI 2024 LAMBDA: Large Language Model-Based Data Augmentation for Multi-Modal Machine Translation EMNLP 2024 Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases NeurIPS 2024 LaMDA: Large Model Fine-Tuning via Spectrally Decomposed Low-Dimensional Adaptation EMNLP 2024 LAMM: Label Alignment for Multi-Modal Prompt Learning AAAI 2024 LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training AAAI 2024 Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models ACL 2024 LaneCPP: Continuous 3D Lane Detection using Physical Priors CVPR 2024 LangSplat: 3D Language Gaussian Splatting CVPR 2024 Language Complexity and Speech Recognition Accuracy: Orthographic Complexity Hurts, Phonological Complexity Doesn’t ACL 2024 Language-conditioned Detection Transformer CVPR 2024 Language-Driven Anchors for Zero-Shot Adversarial Robustness CVPR 2024 Language-driven Grasp Detection CVPR 2024 Language-Driven Interactive Traffic Trajectory Generation NeurIPS 2024 Language-guided Image Reflection Separation CVPR 2024 Language-Informed Visual Concept Learning ICLR 2024 Language Model Guided Interpretable Video Action Reasoning CVPR 2024 Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic ACL 2024 Language Models as Black-Box Optimizers for Vision-Language Models CVPR 2024 Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models EMNLP 2024 Language Models as Semantic Indexers ICML 2024 Language-only Training of Zero-shot Composed Image Retrieval CVPR 2024 Language-to-Code Translation with a Single Labeled Example EMNLP 2024 LAN: Learning to Adapt Noise for Image Denoising CVPR 2024