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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)

Picard understanding Darmok: A Dataset and Model for Metaphor-Rich Translation in a Constructed Language EMNLP 2022 Picking Pearl from Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services AAAI 2022 PICT@DravidianLangTech-ACL2022: Neural Machine Translation On Dravidian Languages ACL 2022 PILE: Pairwise Iterative Logits Ensemble for Multi-Teacher Labeled Distillation EMNLP 2022 PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication ICLR 2022 Pix2NeRF: Unsupervised Conditional p-GAN for Single Image to Neural Radiance Fields Translation CVPR 2022 PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures CVPR 2022 PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient NeurIPS 2022 PlaceNet: Neural Spatial Representation Learning with Multimodal Attention IJCAI 2022 PLAD: Learning To Infer Shape Programs With Pseudo-Labels and Approximate Distributions CVPR 2022 PlanarRecon: Real-Time 3D Plane Detection and Reconstruction From Posed Monocular Videos CVPR 2022 PLATO-Ad: A Unified Advertisement Text Generation Framework with Multi-Task Prompt Learning EMNLP 2022 Playing Lottery Tickets with Vision and Language AAAI 2022 Play música alegre: A Large-Scale Empirical Analysis of Cross-Lingual Phenomena in Voice Assistant Interactions EMNLP 2022 PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation EMNLP 2022 Plug and Play Knowledge Distillation for kNN-LM with External Logits AACL 2022 Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training EMNLP 2022 PlugAT: A Plug and Play Module to Defend against Textual Adversarial Attack COLING 2022 PluGeN: Multi-Label Conditional Generation from Pre-trained Models AAAI 2022 Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks ICML 2022 PMAL: Open Set Recognition via Robust Prototype Mining AAAI 2022 Pneg: Prompt-based Negative Response Generation for Dialogue Response Selection Task EMNLP 2022 PNP: Robust Learning From Noisy Labels by Probabilistic Noise Prediction CVPR 2022 PodcastMix: A dataset for separating music and speech in podcasts Interspeech 2022 Point2Seq: Detecting 3D Objects As Sequences CVPR 2022