conftrace_

Application Areas

34,437 papers (4 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Domain Adaptation (9,897) Efficient Computing (8,226) Data Augmentation (3,648) Fairness (3,574) Knowledge Distillation (3,219) Privacy (3,022) Domain Generalization (1,972) Model Compression (1,736) Risk Management (1,119) Model Merging (592) Recommender Systems (343) Information Retrieval (249) Text Classification (144) Text Processing (2)

Papers per year

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1,828

2,498

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6,422

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1,666

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Papers (including subtopics)

Open-Set Graph Domain Adaptation via Separate Domain Alignment AAAI 2024 OpenStreetView-5M: The Many Roads to Global Visual Geolocation CVPR 2024 OpenT2T: An Open-Source Toolkit for Table-to-Text Generation EMNLP 2024 Open-Vocabulary Semantic Segmentation with Image Embedding Balancing CVPR 2024 OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text ICLR 2024 OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators NeurIPS 2024 Operator SVD with Neural Networks via Nested Low-Rank Approximation ICML 2024 Optical Diffusion Models for Image Generation NeurIPS 2024 Optical Flow Domain Adaptation via Target Style Transfer WACV 2024 Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift NeurIPS 2024 Optimal and Approximate Adaptive Stochastic Quantization NeurIPS 2024 Optimal Auction Design with User Coupons in Advertising Systems IJCAI 2024 Optimal bounds for ℓ_p sensitivity sampling via ℓ_2 augmentation ICML 2024 Optimal Classification under Performative Distribution Shift NeurIPS 2024 Optimal Graph Learning and Nuclear Norm Maximization for Deep Cross-Domain Robust Label Propagation IJCAI 2024 Optimal Learning Policies for Differential Privacy in Multi-armed Bandits JMLR 2024 Optimal Locally Private Nonparametric Classification with Public Data JMLR 2024 Optimal Multi-Distribution Learning COLT 2024 Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime NeurIPS 2024 Optimal Ridge Regularization for Out-of-Distribution Prediction ICML 2024 Optimal Sparse Survival Trees AISTATS 2024 Optimistic Search: Change Point Estimation for Large-scale Data via Adaptive Logarithmic Queries JMLR 2024 Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning NeurIPS 2024 Optimized Speculative Sampling for GPU Hardware Accelerators EMNLP 2024 Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs EMNLP 2024