Papers
Sun 21 May 2023
136 papers
- Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Guided Motion Diffusion for Controllable Human Motion SynthesisDiffusion models → Video generation
- Understanding the Effect of Data Augmentation on Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with TransformersLLM reasoning → Mathematical reasoning
- Watermarking Diffusion ModelDiffusion models → Robustness, privacy and adversarial aspects +1
- Augmenting Autotelic Agents with Large Language ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
- GPT-3.5, GPT-4, or BARD? Evaluating LLMs Reasoning Ability in Zero-Shot Setting and Performance Boosting Through PromptsLLM reasoning → Reasoning benchmarks and evaluation
- Zero-shot Visual Relation Detection via Composite Visual Cues from Large Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- DualVC: Dual-mode Voice Conversion using Intra-model Knowledge Distillation and Hybrid Predictive CodingKnowledge distillation → Speech and audio distillation
- DiffUCD:Unsupervised Hyperspectral Image Change Detection with Semantic Correlation Diffusion ModelDiffusion models → Inverse problems and image restoration
- Federated Offline Policy LearningOffline RL and imitation learning from data → Offline RL algorithms
- Target-Aware Spatio-Temporal Reasoning via Answering Questions in Dynamics Audio-Visual ScenariosLLM reasoning → Audio-language model reasoning
- Generative Model Watermarking Suppressing High-Frequency ArtifactsLLM safety and security → Watermarking generated content and models
- From Patches to Objects: Exploiting Spatial Reasoning for Better Visual RepresentationsLLM reasoning → Spatial and embodied reasoning
- Learning Joint 2D & 3D Diffusion Models for Complete Molecule GenerationDiffusion models → Flow matching, time series and science
- Random Relabeling for Efficient Machine UnlearningLLM safety and security → Machine unlearning
- WiFi-TCN: Temporal Convolution for Human Interaction Recognition based on WiFi signal
- Exploring and Exploiting Data Heterogeneity in Recommendation
- Bounded Projection Matrix Approximation with Applications to Community Detection
- Predicting Stock Market Time-Series Data using CNN-LSTM Neural Network Model
- Unsupervised Discovery of Continuous Skills on a Sphere
- On the Limitations of Simulating Active Learning
- Discovering Causal Relations and Equations from Data
- Gene Set Summarization using Large Language Models
- Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languages
- PRODIGY: Enabling In-context Learning Over Graphs
- iWarpGAN: Disentangling Identity and Style to Generate Synthetic Iris Images
- Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process
- FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN Accelerators through Fault-Aware Quantization
- Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies
- Equivariant geometric convolutions for emulation of dynamical systems
- Sparse Representer Theorems for Learning in Reproducing Kernel Banach Spaces
- Your smartphone could act as a pulse-oximeter and as a single-lead ECG
- A parametric distribution for exact post-selection inference with data carving
- A Framework for Bidirectional Decoding: Case Study in Morphological Inflection
- Hystoc: Obtaining word confidences for fusion of end-to-end ASR systems
- Self-Explainable Graph Neural Networks for Link Prediction
- Automated Few-shot Classification with Instruction-Finetuned Language Models
- Reproducibility Requires Consolidated Artifacts
- Generalizable synthetic MRI with physics-informed convolutional networks
- Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes
- Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers
- ChatGPT Is More Likely to Be Perceived as Male Than Female
- M2LADS: A System for Generating MultiModal Learning Analytics Dashboards in Open Education
- Confidence-aware Personalized Federated Learning via Variational Expectation Maximization
- CoMusion: Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion
- Markov α-Potential Games
- Wav2SQL: Direct Generalizable Speech-To-SQL Parsing
- Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models
- A Reinforcement Learning Approach for Robust Supervisory Control of UAVs Under Disturbances
- ToxBuster: In-game Chat Toxicity Buster with BERT
- On the Efficacy and Noise-Robustness of Jointly Learned Speech Emotion and Automatic Speech Recognition
- Explaining How Transformers Use Context to Build Predictions
- BertRLFuzzer: A BERT and Reinforcement Learning Based Fuzzer
- Multilingual Simplification of Medical Texts
- DreamWaltz: Make a Scene with Complex 3D Animatable Avatars
- TheoremQA: A Theorem-driven Question Answering dataset
- P-NOC: adversarial training of CAM generating networks for robust weakly supervised semantic segmentation priors
- SLaDe: A Portable Small Language Model Decompiler for Optimized Assembly
- DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection
- VAKTA-SETU: A Speech-to-Speech Machine Translation Service in Select Indic Languages
- Description-Based Text Similarity
- PCF-GAN: generating sequential data via the characteristic function of measures on the path space
- A Deeper (Autoregressive) Approach to Non-Convergent Discourse Parsing
- CNN-based Dendrite Core Detection from Microscopic Images of Directionally Solidified Ni-base Alloys
- Exploring How Generative Adversarial Networks Learn Phonological Representations
- Multi-Head State Space Model for Speech Recognition
- PanoContext-Former: Panoramic Total Scene Understanding with a Transformer
- Fair Without Leveling Down: A New Intersectional Fairness Definition
- Contextualized End-to-End Speech Recognition with Contextual Phrase Prediction Network
- A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition
- Model Analysis & Evaluation for Ambiguous Question Answering
- Is Translation Helpful? An Empirical Analysis of Cross-Lingual Transfer in Low-Resource Dialog Generation
- Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods
- Evaluating the Performance of Large Language Models on GAOKAO Benchmark
- Continually Improving Extractive QA via Human Feedback
- Quasi-Monte Carlo Graph Random Features
- Understanding Multi-phase Optimization Dynamics and Rich Nonlinear Behaviors of ReLU Networks
- Self-supervised Predictive Coding Models Encode Speaker and Phonetic Information in Orthogonal Subspaces
- Teaching the Pre-trained Model to Generate Simple Texts for Text Simplification
- Infor-Coef: Information Bottleneck-based Dynamic Token Downsampling for Compact and Efficient language model
- Unsupervised Multi-view Pedestrian Detection
- Non-flat ABA is an Instance of Bipolar Argumentation
- Advancing Referring Expression Segmentation Beyond Single Image
- Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter
- BreastSAM: A Study of Segment Anything Model for Breast Tumor Detection in Ultrasound Images
- A Pilot Study on Dialogue-Level Dependency Parsing for Chinese
- SCP: Soft Conditional Prompt Learning for Aerial Video Action Recognition
- BiasAsker: Measuring the Bias in Conversational AI System
- ParticleWNN: a Novel Neural Networks Framework for Solving Partial Differential Equations
- Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification
- VL-Fields: Towards Language-Grounded Neural Implicit Spatial Representations
- Mol-PECO: a deep learning model to predict human olfactory perception from molecular structures
- Evaluating Open-QA Evaluation
- CNN-based Methods for Object Recognition with High-Resolution Tactile Sensors
- Real-time Aerial Detection and Reasoning on Embedded-UAVs
- EM Pre-training for Multi-party Dialogue Response Generation
- Synthesizing Diverse Human Motions in 3D Indoor Scenes
- Deep Radar Inverse Sensor Models for Dynamic Occupancy Grid Maps
- Spatio-temporal Diffusion Point Processes
All 136
- Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits
- WOT-Class: Weakly Supervised Open-world Text Classification
- Language Knowledge-Assisted Representation Learning for Skeleton-Based Action Recognition
- Joint Feature and Differentiable k -NN Graph Learning using Dirichlet Energy
- Pruning Pre-trained Language Models with Principled Importance and Self-regularization
- Layer Collaboration in the Forward-Forward Algorithm
- PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs
- SHINE: Syntax-augmented Hierarchical Interactive Encoder for Zero-shot Cross-lingual Information Extraction
- Contrastive Language-Image Pretrained Models are Zero-Shot Human Scanpath Predictors
- Measuring Intersectional Biases in Historical Documents
- Machine Translation by Projecting Text into the Same Phonetic-Orthographic Space Using a Common Encoding
- HIINT: Historical, Intra- and Inter- personal Dynamics Modeling with Cross-person Memory Transformer
- Towards Optimal Energy Management Strategy for Hybrid Electric Vehicle with Reinforcement Learning
- Machine Learning for Socially Responsible Portfolio Optimisation
- A Dual-level Detection Method for Video Copy Detection
- AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection
- Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models
- Bi-ViT: Pushing the Limit of Vision Transformer Quantization
- Data-driven Mixed Integer Optimization through Probabilistic Multi-variable Branching
- Are Your Explanations Reliable? Investigating the Stability of LIME in Explaining Text Classifiers by Marrying XAI and Adversarial Attack
- PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation
- YOLOv3 with Spatial Pyramid Pooling for Object Detection with Unmanned Aerial Vehicles
- Temporal Fusion Transformers for Streamflow Prediction: Value of Combining Attention with Recurrence
- Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs
- GRACE: Loss-Resilient Real-Time Video through Neural Codecs
- Task-agnostic Distillation of Encoder-Decoder Language Models
- Anomaly Detection Using One-Class SVM for Logs of Juniper Router Devices
- InstructVid2Vid: Controllable Video Editing with Natural Language Instructions
- Coronary Artery Semantic Labeling using Edge Attention Graph Matching Network
- Learning Large Graph Property Prediction via Graph Segment Training
- One-Shot Federated Learning for LEO Constellations that Reduces Convergence Time from Days to 90 Minutes
- When are ensembles really effective?
- i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data
- Alignment of Density Maps in Wasserstein Distance
- OntoType: Ontology-Guided and Pre-Trained Language Model Assisted Fine-Grained Entity Typing
- F-PABEE: Flexible-patience-based Early Exiting for Single-label and Multi-label text Classification Tasks