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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)

NegoLog: An Integrated Python-based Automated Negotiation Framework with Enhanced Assessment Components IJCAI 2024 NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-world Video Super-Resolution AAAI 2024 Neighboring Perturbations of Knowledge Editing on Large Language Models ICML 2024 NeLLCom-X: A Comprehensive Neural-Agent Framework to Simulate Language Learning and Group Communication CoNLL 2024 NeoRL: Efficient Exploration for Nonepisodic RL NeurIPS 2024 NeRFail: Neural Radiance Fields-Based Multiview Adversarial Attack AAAI 2024 NeRF Director: Revisiting View Selection in Neural Volume Rendering CVPR 2024 NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields ECCV 2024 NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild CVPR 2024 NetVigil: Robust and Low-Cost Anomaly Detection for East-West Data Center Security NSDI 2024 Neural 3D Strokes: Creating Stylized 3D Scenes with Vectorized 3D Strokes CVPR 2024 Neural Active Learning Beyond Bandits ICLR 2024 Neural Architecture Retrieval ICLR 2024 Neural Blind Source Separation and Diarization for Distant Speech Recognition Interspeech 2024 Neural Causal Abstractions AAAI 2024 Neural Clustering based Visual Representation Learning CVPR 2024 Neural Codec-based Adversarial Sample Detection for Speaker Verification Interspeech 2024 Neural Compression Augmentation for Contrastive Audio Representation Learning Interspeech 2024 Neural Concept Binder NeurIPS 2024 Neural Conditional Probability for Uncertainty Quantification NeurIPS 2024 Neural Embeddings for kNN Search in Biological Sequence AAAI 2024 Neural Embeddings Rank: Aligning 3D latent dynamics with movements NeurIPS 2024 Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling NeurIPS 2024 Neural Isometries: Taming Transformations for Equivariant ML NeurIPS 2024 Neural Language of Thought Models ICLR 2024