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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)

Normalizing without Modernizing: Keeping Historical Wordforms of Middle French while Reducing Spelling Variants NAACL 2024 Not All Classes Stand on Same Embeddings: Calibrating a Semantic Distance with Metric Tensor CVPR 2024 Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation EMNLP 2024 Not All Preference Pairs Are Created Equal: A Recipe for Annotation-Efficient Iterative Preference Learning EMNLP 2024 Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transfomers CVPR 2024 Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing AAAI 2024 Not All Tokens Are What You Need for Pretraining NeurIPS 2024 Not All Voxels Are Equal: Hardness-Aware Semantic Scene Completion with Self-Distillation CVPR 2024 Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment EMNLP 2024 No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation CVPR 2024 Not Just Object, But State: Compositional Incremental Learning without Forgetting NeurIPS 2024 No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations NeurIPS 2024 Novel Class Discovery for Representation of Real-World Heritage Data as Neural Radiance Fields (Student Abstract) AAAI 2024 Novel Class Discovery for Ultra-Fine-Grained Visual Categorization CVPR 2024 Novel Class Discovery in Chest X-rays via Paired Images and Text AAAI 2024 Novel View Synthesis with View-Dependent Effects from a Single Image CVPR 2024 No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance NeurIPS 2024 NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes ACL 2024 Nuclear Fusion Diamond Polishing Dataset NeurIPS 2024 Null-Shot Prompting: Rethinking Prompting Large Language Models With Hallucination EMNLP 2024 Numerical Claim Detection in Finance: A New Financial Dataset, Weak-Supervision Model, and Market Analysis EMNLP 2024 NumeroLogic: Number Encoding for Enhanced LLMs’ Numerical Reasoning EMNLP 2024 NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data EMNLP 2024 NUS-Emo at SemEval-2024 Task 3: Instruction-Tuning LLM for Multimodal Emotion-Cause Analysis in Conversations SemEval 2024 NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling ICLR 2024