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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)

What Can an Accent Identifier Learn? Probing Phonetic and Prosodic Information in a Wav2vec2-based Accent Identification Model Interspeech 2023 What Can Human Sketches Do for Object Detection? CVPR 2023 What Can we Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers? ICLR 2023 What do self-supervised speech representations encode? An analysis of languages, varieties, speaking styles and speakers Interspeech 2023 What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes AAAI 2023 What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning ACL 2023 What is the best recipe for character-level encoder-only modelling? ACL 2023 What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations EMNLP 2023 What Makes Pre-trained Language Models Better Zero-shot Learners? ACL 2023 What to Fuse and How to Fuse: Exploring Emotion and Personality Fusion Strategies for Explainable Mental Disorder Detection ACL 2023 When Do Curricula Work in Federated Learning? ICCV 2023 When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP ACL 2023 When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment NeurIPS 2023 When Neural Networks Fail to Generalize? A Model Sensitivity Perspective AAAI 2023 When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories ACL 2023 When to Read Documents or QA History: On Unified and Selective Open-domain QA ACL 2023 When to Use Efficient Self Attention? Profiling Text, Speech and Image Transformer Variants ACL 2023 When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications ACL 2023 Where Is My Spot? Few-Shot Image Generation via Latent Subspace Optimization CVPR 2023 Where Is My Wallet? Modeling Object Proposal Sets for Egocentric Visual Query Localization CVPR 2023 Where’s the Point? Self-Supervised Multilingual Punctuation-Agnostic Sentence Segmentation ACL 2023 Where to start? Analyzing the potential value of intermediate models EMNLP 2023 Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression ICML 2023 Which Spurious Correlations Impact Reasoning in NLI Models? A Visual Interactive Diagnosis through Data-Constrained Counterfactuals ACL 2023 Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong General Audio Event Taggers Interspeech 2023