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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

Visual Adversarial Examples Jailbreak Aligned Large Language Models AAAI 2024 Visual-Augmented Dynamic Semantic Prototype for Generative Zero-Shot Learning CVPR 2024 Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models CVPR 2024 Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion NeurIPS 2024 Visual Delta Generator with Large Multi-modal Models for Semi-supervised Composed Image Retrieval CVPR 2024 Visual Fourier Prompt Tuning NeurIPS 2024 Visual Grounding Helps Learn Word Meanings in Low-Data Regimes NAACL 2024 Visual Hallucination Elevates Speech Recognition AAAI 2024 Visual In-Context Prompting CVPR 2024 Visually-Aware Context Modeling for News Image Captioning NAACL 2024 Visually Guided Audio Source Separation With Meta Consistency Learning WACV 2024 Visual Pivoting Unsupervised Multimodal Machine Translation in Low-Resource Distant Language Pairs EMNLP 2024 Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach CVPR 2024 Visual Prompting in LLMs for Enhancing Emotion Recognition EMNLP 2024 Visual Prompt Tuning in Null Space for Continual Learning NeurIPS 2024 Visual Question Decomposition on Multimodal Large Language Models EMNLP 2024 Visual Representation Learning with Stochastic Frame Prediction ICML 2024 Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models ICML 2024 VITA: ‘Carefully Chosen and Weighted Less’ Is Better in Medication Recommendation AAAI 2024 ViTamin: Designing Scalable Vision Models in the Vision-Language Era CVPR 2024 VLCounter: Text-Aware Visual Representation for Zero-Shot Object Counting AAAI 2024 VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment EMNLP 2024 VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought NeurIPS 2024 VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions NeurIPS 2024 Vlogger: Make Your Dream A Vlog CVPR 2024