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
'10
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'25
Papers (including subtopics)
The role of optimization geometry in single neuron learning
AISTATS 2022
The RoyalFlush System for the WMT 2022 Efficiency Task
EMNLP 2022
The Sample Complexity of One-Hidden-Layer Neural Networks
NeurIPS 2022
The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models
NeurIPS 2022
The State of Sparse Training in Deep Reinforcement Learning
ICML 2022
The trade-offs of model size in large recommendation models : 100GB to 10MB Criteo-tb DLRM model
NeurIPS 2022
Three-stage Evolution and Fast Equilibrium for SGD with Non-degerate Critical Points
ICML 2022
Thrifty Neural Architecture Search for Medical Image Segmentation (Student Abstract)
AAAI 2022
Tight Neural Network Verification via Semidefinite Relaxations and Linear Reformulations
AAAI 2022
To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding
IJCAI 2022
Token and Head Adaptive Transformers for Efficient Natural Language Processing
COLING 2022
Token Dropping for Efficient BERT Pretraining
ACL 2022
Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation
EMNLP 2022
Too Brittle to Touch: Comparing the Stability of Quantization and Distillation towards Developing Low-Resource MT Models
EMNLP 2022
Topologically-Aware Deformation Fields for Single-View 3D Reconstruction
CVPR 2022
Topology-aware Generalization of Decentralized SGD
ICML 2022
Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning
ICML 2022
To update or not to update? Neurons at equilibrium in deep models
NeurIPS 2022
Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis
NeurIPS 2022
Toward Low-Cost End-to-End Spoken Language Understanding
Interspeech 2022
Toward Robust Spiking Neural Network Against Adversarial Perturbation
NeurIPS 2022
Towards an Effective Orthogonal Dictionary Convolution Strategy
AAAI 2022
Towards Better Plasticity-Stability Trade-Off in Incremental Learning: A Simple Linear Connector
CVPR 2022
Towards Better Understanding Attribution Methods
CVPR 2022
Towards Bridging Sample Complexity and Model Capacity
AAAI 2022