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34,437 papers (4 classified directly here)

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Papers (including subtopics)

Theory and Algorithm for Batch Distribution Drift Problems AISTATS 2023 The Parameterized Complexity of Network Microaggregation AAAI 2023 The Path to Continuous Domain Adaptation Improvements by HW-TSC for the WMT23 Biomedical Translation Shared Task EMNLP 2023 The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning ICCV 2023 The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications AAAI 2023 The Price of Differential Privacy under Continual Observation ICML 2023 The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance NeurIPS 2023 The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data Only NeurIPS 2023 The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning CVPR 2023 The Risk and Opportunity of Data Augmentation and Translation for ESG News Impact Identification with Language Models AACL 2023 The Role of Global and Local Context in Named Entity Recognition ACL 2023 The Role of ImageNet Classes in Fréchet Inception Distance ICLR 2023 The RST Continuity Corpus ACL 2023 The Saddle-Point Method in Differential Privacy ICML 2023 Thesis Distillation: Investigating The Impact of Bias in NLP Models on Hate Speech Detection EMNLP 2023 The Stable Signature: Rooting Watermarks in Latent Diffusion Models ICCV 2023 The Statistical Scope of Multicalibration ICML 2023 The student becomes the master: Outperforming GPT3 on Scientific Factual Error Correction EMNLP 2023 The s-value: evaluating stability with respect to distributional shifts NeurIPS 2023 The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks ACL 2023 The Target-Charging Technique for Privacy Analysis across Interactive Computations NeurIPS 2023 The Test of Tests: A Framework for Differentially Private Hypothesis Testing ICML 2023 The Tilted Variational Autoencoder: Improving Out-of-Distribution Detection ICLR 2023 The Treasure Beneath Multiple Annotations: An Uncertainty-Aware Edge Detector CVPR 2023 The Unreasonable Effectiveness of Large Language-Vision Models for Source-Free Video Domain Adaptation ICCV 2023