Optimization & Theory
7,804 papers (27 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
8
7
12
6
16
9
25
48
45
60
94
150
295
436
675
803
1,010
944
1,346
1,352
463
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Papers (including subtopics)
Entropy-Driven Mixed-Precision Quantization for Deep Network Design
NeurIPS 2022
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine
NeurIPS 2022
ePiC: Employing Proverbs in Context as a Benchmark for Abstract Language Understanding
ACL 2022
EPIC TTS Models: Empirical Pruning Investigations Characterizing Text-To-Speech Models
Interspeech 2022
Equal Bits: Enforcing Equally Distributed Binary Network Weights
AAAI 2022
Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating Attention
EMNLP 2022
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions With Superior OOD Generalization
CVPR 2022
Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing
EMNLP 2022
Evolution of Neural Tangent Kernels under Benign and Adversarial Training
NeurIPS 2022
Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
AAAI 2022
Exact learning dynamics of deep linear networks with prior knowledge
NeurIPS 2022
Execution-based Evaluation for Data Science Code Generation Models
EMNLP 2022
Experimental Standards for Deep Learning in Natural Language Processing Research
EMNLP 2022
Explaining Classes through Stable Word Attributions
ACL 2022
Explain My Surprise: Learning Efficient Long-Term Memory by predicting uncertain outcomes
NeurIPS 2022
Exploiting Explainable Metrics for Augmented SGD
CVPR 2022
Exploring Mode Connectivity for Pre-trained Language Models
EMNLP 2022
Exploring the Gap between Collapsed & Whitened Features in Self-Supervised Learning
ICML 2022
Exponential Separations in Symmetric Neural Networks
NeurIPS 2022
Exposing and Exploiting Fine-Grained Block Structures for Fast and Accurate Sparse Training
NeurIPS 2022
ExSum: From Local Explanations to Model Understanding
NAACL 2022
Extended Unconstrained Features Model for Exploring Deep Neural Collapse
ICML 2022
Extragradient Method: O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity
AISTATS 2022
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study
NeurIPS 2022
EZNAS: Evolving Zero-Cost Proxies For Neural Architecture Scoring
NeurIPS 2022