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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)

TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference EMNLP 2023 TextObfuscator: Making Pre-trained Language Model a Privacy Protector via Obfuscating Word Representations ACL 2023 Text-Only Domain Adaptation for End-to-End Speech Recognition through Down-Sampling Acoustic Representation Interspeech 2023 Text Only Domain Adaptation with Phoneme Guided Data Splicing for End-to-End Speech Recognition Interspeech 2023 Texts as Images in Prompt Tuning for Multi-Label Image Recognition CVPR 2023 Text Style Transfer with Contrastive Transfer Pattern Mining ACL 2023 Text-Visual Prompting for Efficient 2D Temporal Video Grounding CVPR 2023 Text With Knowledge Graph Augmented Transformer for Video Captioning CVPR 2023 The Adversarial Consistency of Surrogate Risks for Binary Classification NeurIPS 2023 The Aggregation–Heterogeneity Trade-off in Federated Learning COLT 2023 The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers ACL 2023 The Benefits of Mixup for Feature Learning ICML 2023 The Best Defense Is a Good Offense: Adversarial Augmentation Against Adversarial Attacks CVPR 2023 The BIGAI Offline Speech Translation Systems for IWSLT 2023 Evaluation ACL 2023 The Catalog Problem: Clustering and Ordering Variable-Sized Sets ICML 2023 The Change You Want To See WACV 2023 The Dark Side of AutoML: Towards Architectural Backdoor Search ICLR 2023 The Devil Is in the Frequency: Geminated Gestalt Autoencoder for Self-Supervised Visual Pre-training AAAI 2023 The Dormant Neuron Phenomenon in Deep Reinforcement Learning ICML 2023 The D-WISE Tool Suite: Multi-Modal Machine-Learning-Powered Tools Supporting and Enhancing Digital Discourse Analysis ACL 2023 The Edge of Orthogonality: A Simple View of What Makes BYOL Tick ICML 2023 The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter NeurIPS 2023 The Enemy of My Enemy Is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training CVPR 2023 The Expressive Power of Tuning Only the Normalization Layers COLT 2023 The Helsinki-NLP Submissions at NADI 2023 Shared Task: Walking the Baseline EMNLP 2023