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Papers (including subtopics)

In-Context Symmetries: Self-Supervised Learning through Contextual World Models NeurIPS 2024 In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering ICML 2024 Incorporating Precedents for Legal Judgement Prediction on European Court of Human Rights Cases EMNLP 2024 Incorporating probabilistic domain knowledge into deep multiple instance learning ICML 2024 Incorporating Word Count Information into Depression Risk Summary Generation: INF@UoS CLPsych 2024 Submission EACL 2024 Incorporating Word-level Phonemic Decoding into Readability Assessment COLING 2024 Increasing Biases Can Be More Efficient Than Increasing Weights WACV 2024 Incremental Residual Concept Bottleneck Models CVPR 2024 IndicFinNLP: Financial Natural Language Processing for Indian Languages COLING 2024 IndicIRSuite: Multilingual Dataset and Neural Information Models for Indian Languages ACL 2024 Indirectly Parameterized Concrete Autoencoders ICML 2024 IndirectQA: Understanding Indirect Answers to Implicit Polar Questions in French and Spanish COLING 2024 Individual-centered Partial Information in Social Networks JMLR 2024 Individual Text Corpora Predict Openness, Interests, Knowledge and Level of Education COLING 2024 Individuation in Neural Models with and without Visual Grounding EMNLP 2024 Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings ACL 2024 Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuse NeurIPS 2024 ”I Never Said That”: A dataset, taxonomy and baselines on response clarity classification EMNLP 2024 Inference of Neural Dynamics Using Switching Recurrent Neural Networks NeurIPS 2024 Inference on High-dimensional Single-index Models with Streaming Data JMLR 2024 Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference NeurIPS 2024 Inferring Change Points in High-Dimensional Linear Regression via Approximate Message Passing ICML 2024 Inferring Iterated Function Systems Approximately from Fractal Images IJCAI 2024 Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors NeurIPS 2024 Inferring stochastic low-rank recurrent neural networks from neural data NeurIPS 2024