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

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Papers (including subtopics)

CARE: A Clue-guided Assistant for CSRs to Read User Manuals ACL 2024 CareCorpus+: Expanding and Augmenting Caregiver Strategy Data to Support Pediatric Rehabilitation EMNLP 2024 CARER - ClinicAl Reasoning-Enhanced Representation for Temporal Health Risk Prediction EMNLP 2024 CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models NeurIPS 2024 CAR-Transformer: Cross-Attention Reinforcement Transformer for Cross-Lingual Summarization AAAI 2024 Cascade Speculative Drafting for Even Faster LLM Inference NeurIPS 2024 CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling ICML 2024 CASSINI: Network-Aware Job Scheduling in Machine Learning Clusters NSDI 2024 Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification NeurIPS 2024 Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN AAAI 2024 Category-Aware Active Domain Adaptation ICML 2024 Category-Level Multi-Part Multi-Joint 3D Shape Assembly CVPR 2024 CAT: Exploiting Inter-Class Dynamics for Domain Adaptive Object Detection CVPR 2024 CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and Calibration EACL 2024 CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables ICML 2024 CauDiTS: Causal Disentangled Domain Adaptation of Multivariate Time Series ICML 2024 Causal Action Influence Aware Counterfactual Data Augmentation ICML 2024 Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces AAAI 2024 Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model NeurIPS 2024 Causal discovery in a complex industrial system: A time series benchmark CLeaR 2024 Causal Discovery Under Local Privacy CLeaR 2024 Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework ICLR 2024 Causal Feature Alignment: Learning To Ignore Spurious Background Features WACV 2024 Causal-Guided Active Learning for Debiasing Large Language Models ACL 2024 Causally Inspired Regularization Enables Domain General Representations AISTATS 2024