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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)

Vision-Language Models are Strong Noisy Label Detectors NeurIPS 2024 Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding AAAI 2024 VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks NeurIPS 2024 Vision Mamba Mender NeurIPS 2024 Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting AAAI 2024 VISTA-LLAMA: Reducing Hallucination in Video Language Models via Equal Distance to Visual Tokens CVPR 2024 VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval ACL 2024 Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model NeurIPS 2024 Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction NeurIPS 2024 Visual Data-Type Understanding does not emerge from scaling Vision-Language Models ICLR 2024 Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion NeurIPS 2024 Visual Editing with LLM-based Tool Chaining: An Efficient Distillation Approach for Real-Time Applications EMNLP 2024 Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation CVPR 2024 Visual Fourier Prompt Tuning NeurIPS 2024 Visual Hallucination Elevates Speech Recognition AAAI 2024 Visual Hallucinations of Multi-modal Large Language Models ACL 2024 Visual In-Context Prompting CVPR 2024 Visualization Recommendation with Prompt-based Reprogramming of Large Language Models ACL 2024 Visualizing Dialogues: Enhancing Image Selection through Dialogue Understanding with Large Language Models ACL 2024 Visually Guided Audio Source Separation With Meta Consistency Learning WACV 2024 Visual Objectification in Films: Towards a New AI Task for Video Interpretation CVPR 2024 Visual Perception by Large Language Model’s Weights NeurIPS 2024 Visual Pivoting Unsupervised Multimodal Machine Translation in Low-Resource Distant Language Pairs EMNLP 2024 Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models CVPR 2024 Visual Programming for Zero-shot Open-Vocabulary 3D Visual Grounding CVPR 2024