Deep Learning

CALANet: Cheap All-Layer Aggregation for Human Activity Recognition NeurIPS 2024 CASE: Exploiting Intra-class Compactness and Inter-class Separability of Feature Embeddings for Out-of-Distribution Detection AAAI 2024 Categorical Flow Matching on Statistical Manifolds NeurIPS 2024 Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction EMNLP 2024 CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction NeurIPS 2024 CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion CVPR 2024 Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization NeurIPS 2024 Cheap Ways of Extracting Clinical Markers from Texts EACL 2024 Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning CVPR 2024 Comparing panic and anxiety on a dataset collected from social media EACL 2024 Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints AISTATS 2024 Confidence Calibration of Classifiers with Many Classes NeurIPS 2024 Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models NeurIPS 2024 Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration AAAI 2024 Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing EMNLP 2024 ControlMath: Controllable Data Generation Promotes Math Generalist Models EMNLP 2024 Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint) AAAI 2024 Credal Deep Ensembles for Uncertainty Quantification NeurIPS 2024 Cross-model Control: Improving Multiple Large Language Models in One-time Training NeurIPS 2024 CUET_DUO@DravidianLangTech EACL2024: Fake News Classification Using Malayalam-BERT EACL 2024 DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity NeurIPS 2024 Data-Augmentation-Based Dialectal Adaptation for LLMs NAACL 2024 Data, Data Everywhere: A Guide for Pretraining Dataset Construction EMNLP 2024 Data-Driven Knowledge-Aware Inference of Private Information in Continuous Double Auctions AAAI 2024 Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation AAAI 2024