conftrace_

Optimization & Theory

36,874 papers (3 classified directly here)

Subtopics

Optimization (14,983) Bayesian Inference (5,566) Learning Theory (5,334) Theory (4,955) Statistical Learning (4,117) Neural Network Optimization (3,649) Stochastic Processes (2,667) Loss Functions (1,162) Distributed Learning (1,135) Stochastic Methods (1,118) Online Algorithms (806) Statistics (684) Information Theory (318) Generalization (220) Sparse Optimization (158) Sample Complexity (99) Game Theory (30) Robust Optimization (17) Optimal Transport (14) Approximation Algorithms (10) Distributed Optimization (8) Convex Optimization (8)

Papers per year

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Papers (including subtopics)

Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning EMNLP 2023
On Enhancing Fine-Tuning for Pre-trained Language Models EMNLP 2023
UL & UM6P at ArAIEval Shared Task: Transformer-based model for Persuasion Techniques and Disinformation detection in Arabic EMNLP 2023
Embeddings at BLP-2023 Task 2: Optimizing Fine-Tuned Transformers with Cost-Sensitive Learning for Multiclass Sentiment Analysis EMNLP 2023
It’s MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk EMNLP 2023
Why Bother with Geometry? On the Relevance of Linear Decompositions of Transformer Embeddings EMNLP 2023
Investigating the Effect of Discourse Connectives on Transformer Surprisal: Language Models Understand Connectives, Even So They Are Surprised EMNLP 2023
How Much Consistency Is Your Accuracy Worth? EMNLP 2023
Evaluating Transformer’s Ability to Learn Mildly Context-Sensitive Languages EMNLP 2023
Rigorously Assessing Natural Language Explanations of Neurons EMNLP 2023
Systematic Generalization by Finetuning? Analyzing Pretrained Language Models Using Constituency Tests EMNLP 2023
The Zipfian Challenge: Learning the statistical fingerprint of natural languages EMNLP 2023
The Validity of Evaluation Results: Assessing Concurrence Across Compositionality Benchmarks EMNLP 2023
Revising with a Backward Glance: Regressions and Skips during Reading as Cognitive Signals for Revision Policies in Incremental Processing EMNLP 2023
A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation EMNLP 2023
How Fragile is Relation Extraction under Entity Replacements? EMNLP 2023
JaSPICE: Automatic Evaluation Metric Using Predicate-Argument Structures for Image Captioning Models EMNLP 2023
Tree-shape Uncertainty for Analyzing the Inherent Branching Bias of Unsupervised Parsing Models EMNLP 2023
Implications of Annotation Artifacts in Edge Probing Test Datasets EMNLP 2023
Contextualizing the Limits of Model & Evaluation Dataset Curation on Semantic Similarity Classification Tasks EMNLP 2023
An Empirical Bayes Framework for Open-Domain Dialogue Generation EMNLP 2023
Elo Uncovered: Robustness and Best Practices in Language Model Evaluation EMNLP 2023
Inductive Bias Is in the Eye of the Beholder EMNLP 2023
On using distribution-based compositionality assessment to evaluate compositional generalisation in machine translation EMNLP 2023
Shifted PAUQ: Distribution shift in text-to-SQL EMNLP 2023