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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)

ES3: Evolving Self-Supervised Learning of Robust Audio-Visual Speech Representations CVPR 2024 ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation AAAI 2024 Estimating Ego-Body Pose from Doubly Sparse Egocentric Video Data NeurIPS 2024 ETAS: Zero-Shot Transformer Architecture Search via Network Trainability and Expressivity ACL 2024 eTraM: Event-based Traffic Monitoring Dataset CVPR 2024 Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples ICML 2024 Evaluate Geometry of Radiance Fields with Low-Frequency Color Prior AAAI 2024 Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets EMNLP 2024 Evaluating In-Context Learning for Computational Literary Studies: A Case Study Based on the Automatic Recognition of Knowledge Transfer in German Drama EACL 2024 Evaluating Short-Term Temporal Fluctuations of Social Biases in Social Media Data and Masked Language Models EMNLP 2024 Evaluating the Effectiveness of Retrieval-Augmented Large Language Models in Scientific Document Reasoning ACL 2024 Evaluating the Validity of Word-level Adversarial Attacks with Large Language Models ACL 2024 Evaluating the Zero-shot Robustness of Instruction-tuned Language Models ICLR 2024 EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE AAAI 2024 Event-based Visible and Infrared Fusion via Multi-task Collaboration CVPR 2024 EventDance: Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition CVPR 2024 Event-Keyed Summarization EMNLP 2024 Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline CVPR 2024 EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens ICML 2024 Everyday Object Meets Vision-and-Language Navigation Agent via Backdoor NeurIPS 2024 Everything2Motion: Synchronizing Diverse Inputs via a Unified Framework for Human Motion Synthesis AAAI 2024 Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation ACL 2024 Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering EMNLP 2024 Evidence of Learned Look-Ahead in a Chess-Playing Neural Network NeurIPS 2024 Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation NeurIPS 2024