conftrace_

influence function

169 papers

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IF

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large language model (14) data attribution (13) training data (13) machine unlearning (12) model interpretation (11) model interpretability (10) data selection (8) neural network (8) training data attribution (7) model debugging (7)

Papers

Doubly Robust Proximal Causal Learning for Continuous Treatments ICLR 2024 Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration EMNLP 2024 Fairness without Harm: An Influence-Guided Active Sampling Approach NeurIPS 2024 Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity NeurIPS 2024 G-DIG: Towards Gradient-based DIverse and hiGh-quality Instruction Data Selection for Machine Translation ACL 2024 In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language Models EMNLP 2024 InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks COLING 2024 Membership Inference Attack Using Self Influence Functions WACV 2024 Most Influential Subset Selection: Challenges, Promises, and Beyond NeurIPS 2024 Rethinking Evaluation Methods for Machine Unlearning EMNLP 2024 SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning EMNLP 2024 Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models NeurIPS 2024 The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes CVPR 2024 Token-wise Influential Training Data Retrieval for Large Language Models ACL 2024 Towards a statistical theory of data selection under weak supervision ICLR 2024 Training Data Attribution via Approximate Unrolling NeurIPS 2024 Unlearning Traces the Influential Training Data of Language Models ACL 2024 Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework AAAI 2024 Approximating Full Conformal Prediction at Scale via Influence Functions AAAI 2023 Average Adjusted Association: Efficient Estimation with High Dimensional Confounders AISTATS 2023 Characterizing the Influence of Graph Elements ICLR 2023 Class based Influence Functions for Error Detection ACL 2023 Contrasting Identifying Assumptions of Average Causal Effects: Robustness and Semiparametric Efficiency JMLR 2023 Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value ICML 2023 Efficient Parametric Approximations of Neural Network Function Space Distance ICML 2023