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Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained Large Models Fine-Tuning

https://doi.org/10.2139/ssrn.4634734
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inferredcites →https://doi.org/10.1007/978-3-030-14596-5openalex-extracted
Deep Learning for NLP and Speech Recognition
inferredcites →https://doi.org/10.1007/978-3-031-19806-9_31openalex-extracted
Uncertainty-Guided Source-Free Domain Adaptation
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A Broad Study of Pre-training for Domain Generalization and Adaptation
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Large Language Models in the Workplace: A Case Study on Prompt Engineering for Job Type Classification
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Domain-Adversarial Training of Neural Networks
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Adapting Visual Category Models to New Domains
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Machine Learning: Algorithms, Real-World Applications and Research Directions
inferredcites →https://doi.org/10.1016/j.neunet.2022.05.015openalex-extracted
Semantic consistency learning on manifold for source data-free unsupervised domain adaptation
inferredcites →https://doi.org/10.1016/j.neunet.2023.02.009openalex-extracted
Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation
inferredcites →https://doi.org/10.1016/j.neunet.2023.08.005openalex-extracted
ProxyMix: Proxy-based Mixup training with label refinery for source-free domain adaptation
inferredcites →https://doi.org/10.1017/cbo9781107587991openalex-extracted
Counterfactuals and Causal Inference
inferredcites →https://doi.org/10.1038/s42256-023-00626-4openalex-extracted
Parameter-efficient fine-tuning of large-scale pre-trained language models
inferredcites →https://doi.org/10.1109/cvpr.2017.572openalex-extracted
Deep Hashing Network for Unsupervised Domain Adaptation
inferredcites →https://doi.org/10.1109/cvpr.2018.00392openalex-extracted
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
inferredcites →https://doi.org/10.1109/cvpr.2018.00417openalex-extracted
Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01135openalex-extracted
Transferable Semantic Augmentation for Domain Adaptation
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01226openalex-extracted
Adversarial Invariant Learning
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00516openalex-extracted
VL-ADAPTER: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00701openalex-extracted
Exploring Domain-Invariant Parameters for Source Free Domain Adaptation
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01170openalex-extracted
Swin Transformer V2: Scaling Up Capacity and Resolution
inferredcites →https://doi.org/10.1109/cvpr52729.2023.01900openalex-extracted
Visual Prompt Tuning for Generative Transfer Learning
inferredcites →https://doi.org/10.1109/iccv.2015.425openalex-extracted
Deep Learning Face Attributes in the Wild
inferredcites →https://doi.org/10.1109/iccv.2019.00149openalex-extracted
Moment Matching for Multi-Source Domain Adaptation
inferredcites →https://doi.org/10.1109/iccv.2019.00814openalex-extracted
Semi-Supervised Domain Adaptation via Minimax Entropy
inferredcites →https://doi.org/10.1109/iccv48922.2021.00986openalex-extracted
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
inferredcites →https://doi.org/10.1109/tai.2021.3110179openalex-extracted
Domain Adaptation Without Source Data
inferredcites →https://doi.org/10.1109/tip.2021.3065254openalex-extracted
Attention-Based Multi-Source Domain Adaptation
inferredcites →https://doi.org/10.1109/tip.2021.3112012openalex-extracted
Domain Adaptive Ensemble Learning
inferredcites →https://doi.org/10.1109/tmm.2022.3142524openalex-extracted
Active Gradual Domain Adaptation: Dataset and Approach
inferredcites →https://doi.org/10.1109/tpami.2021.3071225openalex-extracted
Contradistinguisher: A Vapnik's Imperative to Unsupervised Domain Adaptation
inferredcites →https://doi.org/10.1109/tpami.2021.3109287openalex-extracted
Divergence-Agnostic Unsupervised Domain Adaptation by Adversarial Attacks
inferredcites →https://doi.org/10.1109/wacv45572.2020.9093358openalex-extracted
Progressive Domain Adaptation for Object Detection
inferredcites →https://doi.org/10.1145/3394486.3403269openalex-extracted
Stable Learning via Differentiated Variable Decorrelation
inferredcites →https://doi.org/10.1145/3444944openalex-extracted
A Survey on Causal Inference
inferredcites →https://doi.org/10.1145/3560815openalex-extracted
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
inferredcites →https://doi.org/10.1214/09-ss057openalex-extracted
Causal inference in statistics: An overview
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.769openalex-extracted
End-to-End Bias Mitigation by Modelling Biases in Corpora
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.770openalex-extracted
Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance
inferredcites →https://doi.org/10.18653/v1/2021.eacl-main.291openalex-extracted
Increasing Robustness to Spurious Correlations using Forgettable Examples
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.713openalex-extracted
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning
inferredcites →https://doi.org/10.18653/v1/2022.acl-long.230openalex-extracted
Adaptive Testing and Debugging of NLP Models
inferredcites →https://doi.org/10.18653/v1/2022.acl-long.382openalex-extracted
Predicate-Argument Based Bi-Encoder for Paraphrase Identification
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.517openalex-extracted
Debiasing Masks: A New Framework for Shortcut Mitigation in NLU
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.725openalex-extracted
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference
inferredcites →https://doi.org/10.18653/v1/d19-1418openalex-extracted
Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
inferredcites →https://doi.org/10.18653/v1/n18-1101openalex-extracted
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
inferredcites →https://doi.org/10.18653/v1/p19-1334openalex-extracted
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
inferredcites →https://doi.org/10.2139/ssrn.4412854openalex-extracted
Contrast and Clustering: Learning Neighborhood Pair Representation for Source-Free Domain Adaptation
inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-extracted
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-extracted
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1606.03976openalex-extracted
Estimating individual treatment effect: generalization bounds and algorithms
inferredcites →https://doi.org/10.48550/arxiv.1707.06422openalex-extracted
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions
inferredcites →https://doi.org/10.48550/arxiv.1712.02560openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1803.00830openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1812.01754openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1902.01007openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1904.01130openalex-extracted
PAWS: Paraphrase Adversaries from Word Scrambling
inferredcites →https://doi.org/10.48550/arxiv.1909.06674openalex-extracted
A Step Toward Quantifying Independently Reproducible Machine Learning Research
inferredcites →https://doi.org/10.48550/arxiv.1910.11319openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2002.03497openalex-extracted
Few-shot Domain Adaptation by Causal Mechanism Transfer
inferredcites →https://doi.org/10.48550/arxiv.2002.08546openalex-extracted
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
inferredcites →https://doi.org/10.48550/arxiv.2010.07249openalex-extracted
Environment Inference for Invariant Learning
inferredcites →https://doi.org/10.48550/arxiv.2010.11929openalex-extracted
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
inferredcites →https://doi.org/10.48550/arxiv.2011.12945openalex-extracted
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems
inferredcites →https://doi.org/10.48550/arxiv.2104.07876openalex-extracted
Deep Stable Learning for Out-Of-Distribution Generalization
inferredcites →https://doi.org/10.48550/arxiv.2105.03793openalex-extracted
Stability and Generalization of Stochastic Gradient Methods for Minimax Problems
inferredcites →https://doi.org/10.48550/arxiv.2107.09044openalex-extracted
Just Train Twice: Improving Group Robustness without Training Group Information
inferredcites →https://doi.org/10.48550/arxiv.2110.04366openalex-extracted
Towards a Unified View of Parameter-Efficient Transfer Learning
inferredcites →https://doi.org/10.48550/arxiv.2111.09883openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2201.00072openalex-extracted
BARACK: Partially Supervised Group Robustness With Guarantees
inferredcites →https://doi.org/10.48550/arxiv.2203.11819openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2204.02070openalex-extracted
Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation
inferredcites →https://doi.org/10.48550/arxiv.2205.04183openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2205.09797openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2205.14566openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2206.06640openalex-extracted
Confidence Score for Source-Free Unsupervised Domain Adaptation
inferredcites →https://doi.org/10.48550/arxiv.2207.04901openalex-extracted
Exploring Length Generalization in Large Language Models
inferredcites →https://doi.org/10.48550/arxiv.2208.07591openalex-extracted
Uncertainty-guided Source-free Domain Adaptation
inferredcites →https://doi.org/10.48550/arxiv.2210.00990openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2210.09150openalex-extracted
Prompting GPT-3 To Be Reliable
inferredcites →https://doi.org/10.48550/arxiv.2301.00234openalex-extracted
A Survey on In-context Learning
inferredcites →https://doi.org/10.48550/arxiv.2302.08582openalex-extracted
Integrating Layered Principles with Discernment and Social Learning
inferredcites →https://doi.org/10.48550/arxiv.2302.10893openalex-extracted
Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness
inferredcites →https://doi.org/10.48550/arxiv.2302.12095openalex-extracted
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective
inferredcites →https://doi.org/10.48550/arxiv.2303.07142openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2303.10420openalex-extracted
A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models
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Advances and Applications in Deep Learning
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Attracting and Dispersing: A Simple Approach for Source-Free Domain Adaptation
inferredcites →https://doi.org/10.52202/068431-0832openalex-snapshot
Improving Multi-Task Generalization Via Regularizing Spurious Correlation
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Augmenting Language Models with Long-Term Memory
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