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  1. Don't stop me now: Rethinking Validation Criteria for Model Parameter Selection
    2026/02/25 by Andrea Apicella, Francesco Isgro, Francesco Isgrò +2 · 1 voice
    Computer Science · #Adversarial Robustness in Machine Learning #Cross-validation #Domain Adaptation and Few-Shot Learning #Early stopping #Generalization #Model selection #Model validation #Selection (genetic algorithm) #Set (abstract data type) #Stochastic Gradient Optimization Techniques #Test set #cs.AI #cs.LG
  2. Generalizing Adversarial Explanations with Grad-CAM
    2022/04/11 by Tanmay Chakraborty, Chakraborty, Tanmay, Utkarsh Trehan +5 · 4 citations
    Computer Science · Mathematics · Medicine · #Adversarial Robustness in Machine Learning #Adversarial system #Algorithm #Artificial Intelligence in Healthcare and Education #Artificial intelligence #Artificial neural network #Class (philosophy) #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Convolution (computer science) #Convolutional neural network #Cryptography and Security (cs.CR) #Deep learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Face (sociological concept) #Generalization #Image (mathematics) #Mathematics #Metric (unit) #Pattern recognition (psychology) #Set (abstract data type) #Similarity (geometry) #Test set
  3. DuReaderrobust: A Chinese Dataset Towards Evaluating Robustness and Generalization of Machine Reading Comprehension in Real-World Applications
    2020/04/23 by Hongxuan Tang, Hongyu Li, Tang, Hongxuan +10 · 2 citations
    Computer Science · Mathematics · #Artificial intelligence #Computation and Language (cs.CL) #Computer science #FOS: Computer and information sciences #Generalization #Machine learning #Mathematics #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Natural language processing #Reading (process) #Reading comprehension #Robustness (evolution) #Set (abstract data type) #Test set #Topic Modeling #cs.CL
  4. Evaluating Models' Local Decision Boundaries via Contrast Sets
    2020/04/06 by Matt Gardner, Gardner, Matt, Yoav Artzi +50 · 1 voice · 8 citations
    Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Annotation #Artificial intelligence #Computation and Language (cs.CL) #Computer science #Contrast (vision) #FOS: Computer and information sciences #Generalization #Machine learning #Mathematics #Multimodal Machine Learning Applications #Natural language processing #Parsing #Set (abstract data type) #Test (biology) #Test set #Topic Modeling #cs.CL
  5. Adversarial NLI: A New Benchmark for Natural Language Understanding
    2019/10/31 by Yixin Nie, Adina Williams, Nie, Yixin +9 · 1 voice · 119 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Adversarial system #Algorithm #Artificial intelligence #Benchmark (surveying) #Computer science #Machine learning #Multimodal Machine Learning Applications #Natural language processing #Programming language #Set (abstract data type) #State (computer science) #Strengths and weaknesses #Test set #Topic Modeling #Training set #Variety (cybernetics) #cs.CL #cs.LG
  6. Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
    2019/02/03 by R. Thomas McCoy, McCoy, R. Thomas, Ellie Pavlick +3 · 1 voice · 93 citations
    Computer Science · Mathematics · #Artificial intelligence #Computation and Language (cs.CL) #Computer science #FOS: Computer and information sciences #Heuristic #Heuristics #Inference #Machine learning #Mathematics #Natural Language Processing Techniques #Natural language #Natural language processing #Programming language #Sentence #Set (abstract data type) #Subsequence #Task (project management) #Test set #Text Readability and Simplification #Topic Modeling #cs.CL
  7. Training on the test set? An analysis of Spampinato et al. [31]
    2018/12/18 by Ren Li, Li, Ren, Jared S. Johansen +11 · 1 voice · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · Neuroscience · Psychology · #Artificial intelligence #Block design #Classifier (UML) #Codebook #Cognitive neuroscience of visual object recognition #Computer Vision and Pattern Recognition (cs.CV) #Computer science #EEG and Brain-Computer Interfaces #Electroencephalography #FOS: Biological sciences #FOS: Computer and information sciences #Face Recognition and Perception #Machine Learning (cs.LG) #Mathematics #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #Object (grammar) #Pattern recognition (psychology) #Perception #Psychology #Speech recognition #Test set #cs.CV #cs.LG #q-bio.NC
  8. XNLI: Evaluating Cross-lingual Sentence Representations
    2018/09/13 by Alexis Conneau, Guillaume Lample, Conneau, Alexis +11 · 153 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Artificial intelligence #Computation and Language (cs.CL) #Computer science #Construct (python library) #FOS: Computer and information sciences #Inference #Machine Learning (cs.LG) #Machine learning #Machine translation #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Natural language processing #Programming language #Sentence #Set (abstract data type) #Task (project management) #Test (biology) #Test case #Test set #Test suite #Topic Modeling #cs.AI #cs.CL #cs.LG
  9. Measuring the tendency of CNNs to Learn Surface Statistical Regularities
    2017/11/30 by Jason Jo, Yoshua Bengio, Jo, Jason +1 · 2 voices · 26 citations
    Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Adversarial system #Anomaly Detection Techniques and Applications #Artificial intelligence #Closing (real estate) #Computer science #Construct (python library) #Convolutional neural network #Data mining #Domain Adaptation and Few-Shot Learning #Fourier transform #Generalization #Image (mathematics) #Machine learning #Mathematics #Measure (data warehouse) #Pattern recognition (psychology) #Semantics (computer science) #Set (abstract data type) #Statistical hypothesis testing #Statistics #Surface (topology) #Test set #cs.LG #stat.ML
  10. First Result on Arabic Neural Machine Translation
    2016/06/08 by Amjad Almahairi, Kyunghyun Cho, Almahairi, Amjad +5 · 2 citations
    Computer Science · #Artificial intelligence #Artificial neural network #Computation and Language (cs.CL) #Computer science #Computer-assisted translation #Evaluation of machine translation #Example-based machine translation #FOS: Computer and information sciences #Machine translation #Machine translation software usability #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Natural language processing #Phrase #Preprocessor #Programming language #Rule-based machine translation #Set (abstract data type) #Synchronous context-free grammar #Test set #Topic Modeling #Transfer-based machine translation #Translation (biology) #cs.CL
  11. Deep Networks with Stochastic Depth
    2016/03/30 by Gao Huang, Yu Sun, Huang, Gao +8 · 3 voices · 176 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Algorithm #Artificial intelligence #Artificial neural network #Computer science #Deep learning #Domain Adaptation and Few-Shot Learning #Function (biology) #Geography #Geology #Residual #Set (abstract data type) #Simple (philosophy) #Stochastic gradient descent #Test (biology) #Test set #Training (meteorology) #cs.CV #cs.LG #cs.NE