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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)

Towards Transferable Targeted Adversarial Examples CVPR 2023 Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision CVPR 2023 Towards Two-point Neuron-inspired Energy-efficient Multimodal Open Master Hearing Aid Interspeech 2023 Towards Understanding and Improving Knowledge Distillation for Neural Machine Translation ACL 2023 Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning ICLR 2023 Towards Understanding Omission in Dialogue Summarization ACL 2023 Towards Unified, Explainable, and Robust Multisensory Perception AAAI 2023 Towards Unifying Multi-Lingual and Cross-Lingual Summarization ACL 2023 Towards Universal Fake Image Detectors That Generalize Across Generative Models CVPR 2023 Towards Voice Reconstruction from EEG during Imagined Speech AAAI 2023 Towards Zero-shot Learning for End-to-end Cross-modal Translation Models EMNLP 2023 Towards Zero-Shot Multilingual Transfer for Code-Switched Responses ACL 2023 Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path EMNLP 2023 ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation EMNLP 2023 T-Projection: High Quality Annotation Projection for Sequence Labeling Tasks EMNLP 2023 Tracking the Evolution of Covid-19 Symptoms through Clinical Conversations ACL 2023 Trade-Off Between Robustness and Accuracy of Vision Transformers CVPR 2023 Trade-Offs Between Fairness and Privacy in Language Modeling ACL 2023 Trafformer: Unify Time and Space in Traffic Prediction AAAI 2023 Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency ACML 2023 Training Deep Surrogate Models with Large Scale Online Learning ICML 2023 Training Meta-Surrogate Model for Transferable Adversarial Attack AAAI 2023 Training Models on Oversampled Data and a Novel Multi-class Annotation Scheme for Dementia Detection ACL 2023 Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign? NeurIPS 2023 Training Transitive and Commutative Multimodal Transformers with LoReTTa NeurIPS 2023