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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)

BJTU-WeChat’s Systems for the WMT22 Chat Translation Task EMNLP 2022 Blackbox Attacks via Surrogate Ensemble Search NeurIPS 2022 Blended Diffusion for Text-Driven Editing of Natural Images CVPR 2022 Blind2Unblind: Self-Supervised Image Denoising With Visible Blind Spots CVPR 2022 Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs AAAI 2022 BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation ICML 2022 Blocking Influence at Collective Level with Hard Constraints (Student Abstract) AAAI 2022 Block-NeRF: Scalable Large Scene Neural View Synthesis CVPR 2022 Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning ICML 2022 Bloom Library: Multimodal Datasets in 300+ Languages for a Variety of Downstream Tasks EMNLP 2022 BMCook: A Task-agnostic Compression Toolkit for Big Models EMNLP 2022 BM-NAS: Bilevel Multimodal Neural Architecture Search AAAI 2022 BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling NeurIPS 2022 BNUDC: A Two-Branched Deep Neural Network for Restoring Images From Under-Display Cameras CVPR 2022 Boosted Curriculum Reinforcement Learning ICLR 2022 Boosted Dense Retriever NAACL 2022 Boosting Active Learning via Improving Test Performance AAAI 2022 Boosting Contrastive Learning with Relation Knowledge Distillation AAAI 2022 Boosting Crowd Counting via Multifaceted Attention CVPR 2022 Boosting Natural Language Generation from Instructions with Meta-Learning EMNLP 2022 Boosting Out-of-distribution Detection with Typical Features NeurIPS 2022 Boosting the Performance of Generic Deep Neural Network Frameworks with Log-supermodular CRFs NeurIPS 2022 Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation NeurIPS 2022 Boosting the Transferability of Video Adversarial Examples via Temporal Translation AAAI 2022 Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning AAAI 2022