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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 Fairness-aware Adversarial Network Pruning ICCV 2023 Towards Faithful Dialogues via Focus Learning ACL 2023 Towards Good Practices for Missing Modality Robust Action Recognition AAAI 2023 Towards Higher Pareto Frontier in Multilingual Machine Translation ACL 2023 Towards Imperceptible Document Manipulations against Neural Ranking Models ACL 2023 Towards In-Distribution Compatible Out-of-Distribution Detection AAAI 2023 Towards Inference Efficient Deep Ensemble Learning AAAI 2023 Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning EMNLP 2023 Towards Instance-adaptive Inference for Federated Learning ICCV 2023 Towards Interpreting and Utilizing Symmetry Property in Adversarial Examples AAAI 2023 Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network AAAI 2023 Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages ACL 2023 Towards Noise-Tolerant Speech-Referring Video Object Segmentation: Bridging Speech and Text EMNLP 2023 Towards Parameter-Efficient Integration of Pre-Trained Language Models In Temporal Video Grounding ACL 2023 Towards Personalized Federated Learning via Heterogeneous Model Reassembly NeurIPS 2023 Towards Practical Plug-and-Play Diffusion Models CVPR 2023 Towards Reference-free Text Simplification Evaluation with a BERT Siamese Network Architecture ACL 2023 Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning AAAI 2023 Towards robust and generalizable representations of extracellular data using contrastive learning NeurIPS 2023 Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations ACL 2023 Towards Robust Metrics for Concept Representation Evaluation AAAI 2023 Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization ACL 2023 Towards Robust Ranker for Text Retrieval ACL 2023 Towards Stable Test-time Adaptation in Dynamic Wild World ICLR 2023 Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities NeurIPS 2023