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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)

VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding AAAI 2024 VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis CVPR 2024 VoiceDefense: Protecting Automatic Speaker Verification Models Against Black-box Adversarial Attacks Interspeech 2024 Voices in a Crowd: Searching for clusters of unique perspectives EMNLP 2024 Volcano: Mitigating Multimodal Hallucination through Self-Feedback Guided Revision NAACL 2024 VOLTAGE: A Versatile Contrastive Learning based OCR Methodology for ultra low-resource scripts through Auto Glyph Feature Extraction EACL 2024 VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAE ICLR 2024 “Vorbești Românește?” A Recipe to Train Powerful Romanian LLMs with English Instructions EMNLP 2024 V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark NeurIPS 2024 VPL: Visual Proxy Learning Framework for Zero-Shot Medical Image Diagnosis EMNLP 2024 VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models AAAI 2024 VQCNIR: Clearer Night Image Restoration with Vector-Quantized Codebook AAAI 2024 VQ-FONT: Few-Shot Font Generation with Structure-Aware Enhancement and Quantization AAAI 2024 Vript: A Video Is Worth Thousands of Words NeurIPS 2024 VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding NeurIPS 2024 VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning CVPR 2024 VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object Detection CVPR 2024 W2P: Switching from Weak Supervision to Partial Supervision for Semantic Segmentation AAAI 2024 WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models NeurIPS 2024 Wakening Past Concepts Without Past Data: Class-Incremental Learning From Online Placebos WACV 2024 Walking in Others’ Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias EMNLP 2024 Walking the Values in Bayesian Inverse Reinforcement Learning UAI 2024 WalledEval: A Comprehensive Safety Evaluation Toolkit for Large Language Models EMNLP 2024 WANDR: Intention-guided Human Motion Generation CVPR 2024 Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement EMNLP 2024