🤖 AI & machine learning204 papers · page 6 of 9 · newest first · all shelvesNeural networks and learning, reasoning, knowledge graphs, continual and interactive learning, how AI is evaluated.← prev 1 2 3 4 5 6 7 8 9 next →Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-TuningArmen Aghajanyan, Sonal Gupta, Luke Zettlemoyer2021Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-trainingOshin Agarwal, Heming Ge, Siamak Shakeri, et al.2021Scaling Up Visual and Vision-Language Representation Learning With Noisy Text SupervisionChao Jia, Yinfei Yang, Ye Xia, et al.2021SemLink 2.0: Chasing Lexical ResourcesKevin Stowe, Jenette Preciado, Kathryn Conger, et al.2021SPARTQA: A Textual Question Answering Benchmark for Spatial ReasoningRoshanak Mirzaee, Hossein Rajaby Faghihi, Qiang Ning, et al.2021TellMeWhy: A Dataset for Answering Why-Questions in NarrativesYash Kumar Lal, Nathanael Chambers, Raymond Mooney, et al.2021Toward a Perspectivist Turn in Ground Truthing for Predictive ComputingValerio Basile, Federico Cabitza, Andrea Campagner, et al.2021Big Bird: Transformers for Longer SequencesManzil Zaheer, Guru Guruganesh, Avinava Dubey, et al.2020Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-Trained Language ModelsBill Yuchen Lin, Seyeon Lee, Rahul Khanna, et al.2020COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge GraphsJena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, et al.2020Evaluating Models' Local Decision Boundaries via Contrast SetsMatt Gardner, Yoav Artzi, Victoria Basmov, et al.2020GLUCOSE: GeneraLized and COntextualized Story ExplanationsNasrin Mostafazadeh, Aditya Kalyanpur, Lori Moon, et al.2020Good-Enough Compositional Data AugmentationJacob Andreas2020How Can We Accelerate Progress Towards Human-like Linguistic Generalization?Tal Linzen2020Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base EmbeddingsApoorv Saxena, Aditay Tripathi, Partha Talukdar2020Knowledge GraphsAidan Hogan, Eva Blomqvist, Michael Cochez, et al.2020Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation MetricsNitika Mathur, Timothy Baldwin, Trevor Cohn2020Temporal Reasoning in Natural Language InferenceSiddharth Vashishtha, Adam Poliak, Yash Kumar Lal, et al.2020Abductive Commonsense ReasoningChandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, et al.2019COMET: Commonsense Transformers for Automatic Knowledge Graph ConstructionAntoine Bosselut, Hannah Rashkin, Maarten Sap, et al.2019Cosmos QA: Machine Reading Comprehension with Contextual Commonsense ReasoningLifu Huang, Ronan Le Bras, Chandra Bhagavatula, et al.2019EfficientNet: Rethinking Model Scaling for Convolutional Neural NetworksMingxing Tan, Quoc V. Le2019GlossBERT: BERT for Word Sense Disambiguation with Gloss KnowledgeLuyao Huang, Chi Sun, Xipeng Qiu, et al.2019Invariant Risk MinimizationMartin Arjovsky, Léon Bottou, Ishaan Gulrajani, et al.2019Language Models as Knowledge Bases?Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, et al.2019← prev 1 2 3 4 5 6 7 8 9 next →