Papers
Sun 18 Dec 2022
76 papers
- Speed up the inference of diffusion models via shortcut MCMC samplingDiffusion models → Diffusion foundations and sampling
- Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language ModelLLM reasoning → Knowledge- and tool-augmented reasoning
- Continual Knowledge Distillation for Neural Machine TranslationKnowledge distillation → Knowledge distillation for LLMs
- Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion ScaleLLM reasoning → Reasoning benchmarks and evaluation
- Chatbots in a Botnet World
- Internal Diverse Image Completion
- Faithful Heteroscedastic Regression with Neural Networks
- Don't Forget Your ABC's: Evaluating the State-of-the-Art in Chat-Oriented Dialogue Systems
- Support Vector Regression: Risk Quadrangle Framework
- Predicting Citi Bike Demand Evolution Using Dynamic Graphs
- Rainproof: An Umbrella To Shield Text Generators From Out-Of-Distribution Data
- On Isotropy, Contextualization and Learning Dynamics of Contrastive-based Sentence Representation Learning
- Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis
- Estimating the Adversarial Robustness of Attributions in Text with Transformers
- Empirical Analysis of AI-based Energy Management in Electric Vehicles: A Case Study on Reinforcement Learning
- Performance Analysis of YOLO-based Architectures for Vehicle Detection from Traffic Images in Bangladesh
- Unsupervised Discontinuous Constituency Parsing with Mildly Context-Sensitive Grammars
- JEMMA: An Extensible Java Dataset for ML4Code Applications
- SUCRe: Leveraging Scene Structure for Underwater Color Restoration
- Recall, Expand and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing
- CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion
- A Permutation-Free Kernel Independence Test
- A Framework for Generalizing Critical Heat Flux Detection Models Using Unsupervised Image-to-Image Translation
- LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning
- Face Generation and Editing with StyleGAN: A Survey
- SPARF: Large-Scale Learning of 3D Sparse Radiance Fields from Few Input Images
- Mask-FPAN: Semi-Supervised Face Parsing in the Wild With De-Occlusion and UV GAN
- LR-CSNet: Low-Rank Deep Unfolding Network for Image Compressive Sensing
- PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism
- Influence-Based Mini-Batching for Graph Neural Networks
- On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization
- Riemannian Optimization for Variance Estimation in Linear Mixed Models
- Synthesis and Evaluation of a Domain-specific Large Data Set for Dungeons & Dragons
- Answer-Set Programming for Lexicographical Makespan Optimisation in Parallel Machine Scheduling
- Let's Negotiate! A Survey of Negotiation Dialogue Systems
- Disentangling Learnable and Memorizable Data via Contrastive Learning for Semantic Communications
- Masked Wavelet Representation for Compact Neural Radiance Fields
- Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization
- Fine-Tuning Is All You Need to Mitigate Backdoor Attacks
- Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint
- BEATs: Audio Pre-Training with Acoustic Tokenizers
- Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political Discussion
- A Better Choice: Entire-space Datasets for Aspect Sentiment Triplet Extraction
- Task Preferences across Languages on Community Question Answering Platforms
- Text2Struct: A Machine Learning Pipeline for Mining Structured Data from Text
- Gait Recognition Using 3-D Human Body Shape Inference
- The Underlying Correlated Dynamics in Neural Training
- Automated Optical Inspection of FAST's Reflector Surface using Drones and Computer Vision
- Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks
- Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs
- Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents
- AutoSlicer: Scalable Automated Data Slicing for ML Model Analysis
- Contextually Enhanced ES-dRNN with Dynamic Attention for Short-Term Load Forecasting
- Neural Coreference Resolution based on Reinforcement Learning
- 2D Pose Estimation based Child Action Recognition
- MeSH Suggester: A Library and System for MeSH Term Suggestion for Systematic Review Boolean Query Construction
- Neural Rankers for Effective Screening Prioritisation in Medical Systematic Review Literature Search
- GAN-based Tabular Data Generator for Constructing Synopsis in Approximate Query Processing: Challenges and Solutions
- Graph Neural Network based Child Activity Recognition
- Risk-Sensitive Reinforcement Learning with Exponential Criteria
- Hidden State Approximation in Recurrent Neural Networks Using Continuous Particle Filtering
- A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness
- Confidence-aware Training of Smoothed Classifiers for Certified Robustness
- Sentence-level Feedback Generation for English Language Learners: Does Data Augmentation Help?
- Multi-Instance Partial-Label Learning: Towards Exploiting Dual Inexact Supervision
- Smart Face Shield: A Sensor-Based Wearable Face Shield Utilizing Computer Vision Algorithms
- Impact of Sentiment Analysis in Fake Review Detection
- PoE: a Panel of Experts for Generalized Automatic Dialogue Assessment
- Plankton-FL: Exploration of Federated Learning for Privacy-Preserving Training of Deep Neural Networks for Phytoplankton Classification
- Deep learning applied to computational mechanics: A comprehensive review, state of the art, and the classics
- A Robust Semantic Frame Parsing Pipeline on a New Complex Twitter Dataset
- Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated?
- Efficient Image Captioning for Edge Devices
- Adaptive deep learning framework for robust unsupervised underwater image enhancement
- A Layered Architecture for Universal Causality
- Language model acceptability judgements are not always robust to context