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)
Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization
IJCAI 2022
Down and Across: Introducing Crossword-Solving as a New NLP Benchmark
ACL 2022
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization
ACL 2022
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization
ICLR 2022
DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks
ICML 2022
DropCov: A Simple yet Effective Method for Improving Deep Architectures
NeurIPS 2022
Dropout as a Regularizer of Interaction Effects
AISTATS 2022
Dual Lottery Ticket Hypothesis
ICLR 2022
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo
CVPR 2022
Dynamically Refined Regularization for Improving Cross-corpora Hate Speech Detection
ACL 2022
Dynamic Forward and Backward Sparse Training
(DFBST): Accelerated Deep Learning through
Completely Sparse Training Schedule
ACML 2022
Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs
NAACL 2022
Dynamics of SGD with Stochastic Polyak Stepsizes: Truly Adaptive Variants and Convergence to Exact Solution
NeurIPS 2022
DyRep: Bootstrapping Training With Dynamic Re-Parameterization
CVPR 2022
Early-Bird GCNs: Graph-Network Co-optimization towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets
AAAI 2022
Earthformer: Exploring Space-Time Transformers for Earth System Forecasting
NeurIPS 2022
EcoFormer: Energy-Saving Attention with Linear Complexity
NeurIPS 2022
ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference
ACL 2022
EdgeFormer: A Parameter-Efficient Transformer for On-Device Seq2seq Generation
EMNLP 2022
Edinburgh’s Submission to the WMT 2022 Efficiency Task
EMNLP 2022
EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization
NeurIPS 2022
Effects of Data Geometry in Early Deep Learning
NeurIPS 2022
Efficient Adversarial Training with Robust Early-Bird Tickets
EMNLP 2022
Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes
IJCAI 2022
Efficient and Scalable Graph Pattern Mining on GPUs
OSDI 2022