conftrace_

theoretical analysis

97 papers

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neural network (6616) learning theory (519) neural network optimization (1293) generative model (2892) attention mechanism (4001) representation learning (6206) language model (4599) transformer architecture (1560) gradient descent (1144) recurrent neural network (1790)

Papers

Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis AISTATS 2022
Evaluation Methods for Representation Learning: A Survey IJCAI 2022
An Analysis of the Linear Bilateral ANAC Domains Using the MiCRO Benchmark Strategy IJCAI 2022
Towards Theoretically Grounded Evolutionary Learning IJCAI 2022
The King Is Naked: On the Notion of Robustness for Natural Language Processing AAAI 2022
Contrastive Learning Inverts the Data Generating Process ICML 2021
Self-Attention Networks Can Process Bounded Hierarchical Languages IJCNLP 2021
A Theoretical Analysis of the Repetition Problem in Text Generation AAAI 2021
Reward Identification in Inverse Reinforcement Learning ICML 2021
Representational aspects of depth and conditioning in normalizing flows ICML 2021
On the Intrinsic Differential Privacy of Bagging IJCAI 2021
An Analysis of LIME for Text Data AISTATS 2021
Beyond exploding and vanishing gradients: analysing RNN training using attractors and smoothness AISTATS 2020
Dual Learning: Theoretical Study and an Algorithmic Extension ACML 2020
Random Smoothing Might be Unable to Certify $\ell_\infty$ Robustness for High-Dimensional Images JMLR 2020
A Critique of the Smooth Inverse Frequency Sentence Embeddings (Student Abstract) AAAI 2020
RNNs can generate bounded hierarchical languages with optimal memory EMNLP 2020
Stolen Probability: A Structural Weakness of Neural Language Models ACL 2020
(Re)construing Meaning in NLP ACL 2020
Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data ACL 2020
Rational neural networks NIPS 2020
The Surprising Simplicity of the Early-Time Learning Dynamics of Neural Networks NIPS 2020
The Expressive Power of a Class of Normalizing Flow Models AISTATS 2020
Observations on Darwiche and Pearl's Approach for Iterated Belief Revision IJCAI 2019
Why do Larger Models Generalize Better? A Theoretical Perspective via the XOR Problem ICML 2019