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awesome-limits-of-dl4nlp
A curated list of papers exploring the limits of deep learning for NLP
https://github.com/thomwolf/awesome-limits-of-dl4nlp
- Controlling Decoding for More Abstractive Summaries with Copy-Based Networks
- Evaluating Compositionality in Sentence Embeddings
- Adversarial Examples for Evaluating Reading Comprehension Systems
- Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks
- Tree-structured composition in neural networks without tree-structured architectures
- Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics - Gredilla, M., Lou, X., … George, D. (2017)
- Annotation Artifacts in Natural Language Inference Data
- Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
- Pre-Proceedings of the Cognitive Computation Symposium: Thinking Beyond Deep Learning
- Building Machines That Learn and Think Like People
- Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences
- Deep Learning: A Critical Appraisal - defense-of-skepticism-about-deep-learning-6e8bfd5ae0f1)
- A Berkeley View of Systems Challenges for AI
- Center for Human-Compatible AI
- Fizz Buzz joke
- What innate priors should we build into the architecture of deep learning systems?
- Does AI Need More Innate Machinery?